This document contains all code and output for our analysis examining
age and sex differences in the associations of social and material
deprivation on cognitive function, and whether these relationships are
moderated by physical activity. All analyses were conducted by Ryan S.
Falck and John R. Best.
All pre-processing can be found on GitHub (https://github.com/ryanfalck/CLSA-Social-Material-Deprivation-Analysis).
1) Initial set-up
options(warn = -1)
setwd("~/Desktop/UBC-Postdoctoral Fellowship/SFU CLSA Project")
if (!require("pacman")) install.packages("pacman")
## Loading required package: pacman
pacman::p_load(gtsummary, lavaan, ggthemes, patchwork, semPlot,semTools, pastecs, Hmisc, psych, readxl,tidyverse,tidySEM)
data <- read_excel("Combined_data_Processed_Jan31,2023.xlsx")
Baseline<- subset(data, Timepoint == "Baseline")
FU1<- subset(data, Timepoint == "FU1")
Baseline_v2<- Baseline %>%
mutate(Age = scale(AGE_NMBR,scale=FALSE)/10,
Female = recode(SEX_ASK,
`F` = 0.5,
`M` = -0.5),
White = recode(SDC_CULT_WH,
`0` = -0.5,
`1` = 0.5),
BMI = HWT_DBMI,
Multimorbidity = Chronic,
Material_deprivation = (MSDYY_MFS),
Social_deprivation = (MSDYY_SFS),
Active_environment = (ALE16_06),
Physical_activity = (PASE_total)/100,
Social_isolation = (SII),
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11 - median(ED_UDR11,na.rm=TRUE),
Income = INC_TOT - median(INC_TOT,na.rm=TRUE),
Language_BL = as.numeric(factor(startlanguage,
levels = c("en","fr"),
labels = c("English","French"))),
Depression = DEP_CESD10 - median(DEP_CESD10,na.rm=TRUE),
Smoking = median(SMK_DSTY,na.rm=TRUE) - SMK_DSTY,
Alcohol = median(ALC_FREQ,na.rm=TRUE) - ALC_FREQ,
Agebin = case_when(AGE_NMBR <= 64 ~ "45-64",
AGE_NMBR > 64 ~ "65+"),
Verbal_Fluency_Liberal = COG_AFT_SCORE_2,
Verbal_Fluency_Conservative = COG_AFT_SCORE_2,
RVLT_Immediate = COG_REYI_SCORE,
RVLT_Delayed = COG_REYII_SCORE,
MAT_Score = COG_MAT_SCORE,
Education_cat = case_when(ED_UDR11<=3 ~ "Less than High School Diploma",
ED_UDR11==4 ~ "High School Diploma",
ED_UDR11>4 & ED_UDR11<=8 ~ "Some College",
ED_UDR11>8 ~ "University Degree or Higher"),
Income_cat = case_when(INC_TOT==1 ~ "<$20k",
INC_TOT==2 ~ "$20k-$50k",
INC_TOT==3 ~ "$50k-$100k",
INC_TOT==4 ~ "$100k-$150k",
INC_TOT==5 ~ ">$150k"),
Smoking_cat = case_when(SMK_DSTY == 1 ~ "Daily Smoker",
SMK_DSTY == 2 | SMK_DSTY == 3 ~ "Occasional Smoker",
SMK_DSTY == 4 | SMK_DSTY == 5 ~ "Former Smoker",
SMK_DSTY == 6 ~ "Non-Smoker"),
Alcohol_cat = case_when(ALC_FREQ == 1 ~ "Almost everyday",
ALC_FREQ == 2 ~ "4-5x/week",
ALC_FREQ == 3 ~ "2-3x/week",
ALC_FREQ == 4 ~ "1x/week",
ALC_FREQ == 5 ~ "2-3x/month",
ALC_FREQ == 6 ~ "1x/month",
ALC_FREQ == 7 ~ "<1x/month",
ALC_FREQ == 96 ~ "Never")
)
FU1_v2<- FU1 %>%
mutate(Age = scale(AGE_NMBR,scale=FALSE)/10,
Female = recode(SEX_ASK,
`F` = 0.5,
`M` = -0.5),
White = recode(SDC_CULT_WH,
`0` = -0.5,
`1` = 0.5),
BMI = HWT_DBMI,
Multimorbidity = Chronic,
Material_deprivation = (MSDYY_MFS),
Social_deprivation = (MSDYY_SFS),
Active_environment = (ALE16_06),
Physical_activity = (PASE_total)/100,
Social_isolation = (SII),
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11 - median(ED_UDR11,na.rm=TRUE),
Income = INC_TOT - median(INC_TOT,na.rm=TRUE),
Language_BL = as.numeric(factor(startlanguage,
levels = c("en","fr"),
labels = c("English","French"))),
Depression = DEP_CESD10 - median(DEP_CESD10,na.rm=TRUE),
Smoking = median(SMK_DSTY,na.rm=TRUE) - SMK_DSTY,
Alcohol = median(ALC_FREQ,na.rm=TRUE) - ALC_FREQ,
Agebin = case_when(AGE_NMBR <= 64 ~ "45-64",
AGE_NMBR > 64 ~ "65+"),
Verbal_Fluency_Liberal = COG_AFT_SCORE_2,
Verbal_Fluency_Conservative = COG_AFT_SCORE_2,
RVLT_Immediate = COG_REYI_SCORE,
RVLT_Delayed = COG_REYII_SCORE,
MAT_Score = COG_MAT_SCORE,
Education_cat = case_when(ED_UDR11<=3 ~ "Less than High School Diploma",
ED_UDR11==4 ~ "High School Diploma",
ED_UDR11>4 & ED_UDR11<=8 ~ "Some College",
ED_UDR11>8 ~ "University Degree or Higher"),
Income_cat = case_when(INC_TOT==1 ~ "<$20k",
INC_TOT==2 ~ "$20k-$50k",
INC_TOT==3 ~ "$50k-$100k",
INC_TOT==4 ~ "$100k-$150k",
INC_TOT==5 ~ ">$150k"),
Smoking_cat = case_when(SMK_DSTY == 1 ~ "Daily Smoker",
SMK_DSTY == 2 | SMK_DSTY == 3 ~ "Occasional Smoker",
SMK_DSTY == 4 | SMK_DSTY == 5 ~ "Former Smoker",
SMK_DSTY == 6 ~ "Non-Smoker"),
Alcohol_cat = case_when(ALC_FREQ == 1 ~ "Almost everyday",
ALC_FREQ == 2 ~ "4-5x/week",
ALC_FREQ == 3 ~ "2-3x/week",
ALC_FREQ == 4 ~ "1x/week",
ALC_FREQ == 5 ~ "2-3x/month",
ALC_FREQ == 6 ~ "1x/month",
ALC_FREQ == 7 ~ "<1x/month",
ALC_FREQ == 96 ~ "Never")
)
colnames(Baseline_v2) <- paste(colnames(Baseline_v2),"BL",sep=".")
colnames(FU1_v2) <- paste(colnames(FU1_v2),"FU1",sep=".")
Baseline_v3<-rename(Baseline_v2, c("entity_id"="entity_id.BL"))
wide.data <- left_join(Baseline_v3,FU1_v2,by=c("entity_id"="entity_id.FU1"))
For this analysis, we excluded rural participants (N=8,112)
options(warn = -1)
wide.data2 <- wide.data %>%
ungroup() %>%
filter(SDC_URBAN_RURAL.BL!=0,
!SDC_URBAN_RURAL.FU1%in%c(-88888,0))
We then excluded individuals who moved from baseline to follow-up (N=
1,627). Our final sample size was thus N= 41,599
#Identify movers from baseline to follow-up
Mover_IDS <- wide.data2$entity_id[(wide.data2$SDC_URBAN_RURAL.BL==wide.data2$SDC_URBAN_RURAL.FU1)==FALSE]
Mover_IDS <- Mover_IDS[!is.na(Mover_IDS)]
#Exclude Movers sample (N= 41599)
wide.data3 <- wide.data2 %>%
ungroup() %>%
filter(!entity_id%in%Mover_IDS)
2) Baseline Descriptive Statistics
Baseline tables exclude participants from rural areas and individuals
who moved from baseline to follow-up.
Baseline.table<-wide.data2
Baseline.table %>%
filter(!entity_id%in%Mover_IDS) %>%
mutate(AgeGrp = Agebin.BL,
Sex = factor(SEX_ASK.BL,
levels = c("F","M")),
Age_sex = paste(AgeGrp,Sex),
BMI = HWT_DBMI.BL,
Multimorbidity = Chronic.BL,
Material_deprivation = (MSDYY_MFS.BL),
Social_deprivation = (MSDYY_SFS.BL),
Active_environment = (ALE16_06.BL),
Physical_activity = (PASE_total.BL)/100,
Social_isolation = (SII.BL),
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11.BL - median(ED_UDR11.BL,na.rm=TRUE),
Income = INC_TOT.BL - median(INC_TOT.BL,na.rm=TRUE),
Language_BL = as.numeric(factor(startlanguage.BL,
levels = c("en","fr"),
labels = c("English","French"))),
Depression = DEP_CESD10.BL - median(DEP_CESD10.BL,na.rm=TRUE),
Smoking = median(SMK_DSTY.BL,na.rm=TRUE) - SMK_DSTY.BL,
Alcohol = median(ALC_FREQ.BL,na.rm=TRUE) - ALC_FREQ.BL,
Agebin = case_when(AGE_NMBR.BL <= 64 ~ "45-64",
AGE_NMBR.BL > 64 ~ "65+"),
Verbal_Fluency_Liberal = COG_AFT_SCORE_2.BL,
Verbal_Fluency_Conservative = COG_AFT_SCORE_2.BL,
RVLT_Immediate = COG_REYI_SCORE.BL,
RVLT_Delayed = COG_REYII_SCORE.BL,
MAT_Score = COG_MAT_SCORE.BL,
Education_cat = case_when(ED_UDR11.BL<=3 ~ "Less than High School Diploma",
ED_UDR11.BL==4 ~ "High School Diploma",
ED_UDR11.BL>4 & ED_UDR11.BL<=8 ~ "Some College",
ED_UDR11.BL>8 ~ "University Degree or Higher"),
Income_cat = case_when(INC_TOT.BL==1 ~ "<$20k",
INC_TOT.BL==2 ~ "$20k-$50k",
INC_TOT.BL==3 ~ "$50k-$100k",
INC_TOT.BL==4 ~ "$100k-$150k",
INC_TOT.BL==5 ~ ">$150k"),
Smoking_cat = case_when(SMK_DSTY.BL == 1 ~ "Daily Smoker",
SMK_DSTY.BL == 2 | SMK_DSTY.BL == 3 ~ "Occasional Smoker",
SMK_DSTY.BL == 4 | SMK_DSTY.BL == 5 ~ "Former Smoker",
SMK_DSTY.BL == 6 ~ "Non-Smoker"),
Alcohol_cat = case_when(ALC_FREQ.BL == 1 ~ "Almost everyday",
ALC_FREQ.BL == 2 ~ "4-5x/week",
ALC_FREQ.BL == 3 ~ "2-3x/week",
ALC_FREQ.BL == 4 ~ "1x/week",
ALC_FREQ.BL == 5 ~ "2-3x/month",
ALC_FREQ.BL == 6 ~ "1x/month",
ALC_FREQ.BL == 7 ~ "<1x/month",
ALC_FREQ.BL == 96 ~ "Never"),
Air_pollution = Air_pollution.BL
) %>%
select(AGE_NMBR.BL,
SEX_ASK.BL,
SDC_CULT_WH.BL,
Education_cat,
Income_cat,
Air_pollution,
Material_deprivation,
Social_deprivation,
Alcohol_cat,
Smoking_cat,
PASE_total.BL,
BMI,
Multimorbidity,
DEP_CESD10.BL,
Social_isolation,
Verbal_Fluency_Liberal,
Verbal_Fluency_Conservative,
RVLT_Immediate,
RVLT_Delayed,
MAT_Score,
Age_sex
) %>%
tbl_summary(
by = Age_sex
) %>%
as_flex_table()
Characteristic | 45-64 F, N = 12,2341 | 45-64 M, N = 11,5671 | 65+ F, N = 8,9531 | 65+ M, N = 8,8451 |
|---|
AGE_NMBR.BL | 56 (51, 60) | 56 (51, 60) | 73 (68, 78) | 73 (68, 78) |
SEX_ASK.BL |
|
|
|
|
F | 12,234 (100%) | 0 (0%) | 8,953 (100%) | 0 (0%) |
M | 0 (0%) | 11,567 (100%) | 0 (0%) | 8,845 (100%) |
SDC_CULT_WH.BL | 11,670 (95%) | 10,893 (94%) | 8,725 (97%) | 8,465 (96%) |
Education_cat |
|
|
|
|
High School Diploma | 1,280 (10%) | 1,039 (9.0%) | 1,169 (13%) | 913 (10%) |
Less than High School Diploma | 409 (3.3%) | 411 (3.6%) | 1,052 (12%) | 808 (9.2%) |
Some College | 5,182 (42%) | 4,543 (39%) | 3,941 (44%) | 3,014 (34%) |
University Degree or Higher | 5,345 (44%) | 5,558 (48%) | 2,761 (31%) | 4,068 (46%) |
Unknown | 18 | 16 | 30 | 42 |
Income_cat |
|
|
|
|
<$20k | 649 (5.6%) | 462 (4.1%) | 921 (12%) | 352 (4.2%) |
>$150k | 2,194 (19%) | 2,843 (26%) | 249 (3.2%) | 670 (8.1%) |
$100k-$150k | 2,516 (22%) | 2,803 (25%) | 632 (8.0%) | 1,224 (15%) |
$20k-$50k | 2,181 (19%) | 1,469 (13%) | 3,500 (45%) | 2,454 (30%) |
$50k-$100k | 3,993 (35%) | 3,569 (32%) | 2,563 (33%) | 3,589 (43%) |
Unknown | 701 | 421 | 1,088 | 556 |
Air_pollution | -0.12 (-0.49, 0.48) | -0.14 (-0.51, 0.49) | -0.13 (-0.49, 0.48) | -0.16 (-0.50, 0.48) |
Unknown | 749 | 749 | 597 | 539 |
Material_deprivation | -0.02 (-0.04, 0.01) | -0.02 (-0.04, 0.01) | -0.02 (-0.04, 0.01) | -0.02 (-0.04, 0.01) |
Unknown | 467 | 451 | 523 | 417 |
Social_deprivation | 0.00 (-0.02, 0.03) | 0.00 (-0.03, 0.03) | 0.01 (-0.02, 0.04) | 0.00 (-0.02, 0.04) |
Unknown | 467 | 451 | 523 | 417 |
Alcohol_cat |
|
|
|
|
<1x/month | 2,033 (19%) | 1,108 (11%) | 1,676 (23%) | 855 (11%) |
1x/month | 960 (9.1%) | 730 (7.2%) | 698 (9.8%) | 508 (6.7%) |
1x/week | 1,476 (14%) | 1,388 (14%) | 820 (11%) | 852 (11%) |
2-3x/month | 1,481 (14%) | 1,129 (11%) | 855 (12%) | 723 (9.6%) |
2-3x/week | 2,485 (24%) | 2,853 (28%) | 1,203 (17%) | 1,564 (21%) |
4-5x/week | 997 (9.4%) | 1,350 (13%) | 593 (8.3%) | 781 (10%) |
Almost everyday | 1,131 (11%) | 1,588 (16%) | 1,298 (18%) | 2,270 (30%) |
Unknown | 1,671 | 1,421 | 1,810 | 1,292 |
Smoking_cat |
|
|
|
|
Daily Smoker | 1,182 (9.7%) | 1,081 (9.4%) | 449 (5.1%) | 425 (4.8%) |
Former Smoker | 6,589 (54%) | 6,672 (58%) | 5,079 (57%) | 6,327 (72%) |
Non-Smoker | 4,148 (34%) | 3,488 (30%) | 3,266 (37%) | 1,954 (22%) |
Occasional Smoker | 263 (2.2%) | 269 (2.3%) | 92 (1.0%) | 71 (0.8%) |
Unknown | 52 | 57 | 67 | 68 |
PASE_total.BL | 162 (111, 223) | 186 (130, 255) | 113 (76, 157) | 136 (91, 182) |
Unknown | 1,064 | 1,003 | 914 | 890 |
BMI | 26.5 (23.3, 30.8) | 27.6 (25.0, 30.7) | 26.6 (23.5, 30.4) | 27.1 (24.8, 29.9) |
Unknown | 79 | 42 | 57 | 33 |
Multimorbidity | 2.00 (1.00, 3.00) | 1.00 (0.00, 2.00) | 3.00 (2.00, 4.00) | 3.00 (1.00, 4.00) |
Unknown | 752 | 591 | 956 | 852 |
DEP_CESD10.BL | 5.0 (2.0, 8.0) | 4.0 (2.0, 7.0) | 5.0 (2.0, 8.0) | 4.0 (2.0, 7.0) |
Unknown | 30 | 39 | 72 | 69 |
Social_isolation | 3.53 (2.64, 4.20) | 3.55 (2.58, 4.21) | 3.81 (3.23, 4.55) | 3.71 (3.18, 4.35) |
Verbal_Fluency_Liberal | 22 (18, 27) | 23 (19, 27) | 18 (14, 22) | 19 (15, 23) |
Unknown | 362 | 313 | 299 | 308 |
Verbal_Fluency_Conservative | 22 (18, 27) | 23 (19, 27) | 18 (14, 22) | 19 (15, 23) |
Unknown | 362 | 313 | 299 | 308 |
RVLT_Immediate | 7.00 (5.00, 8.00) | 6.00 (5.00, 7.00) | 6.00 (4.00, 7.00) | 5.00 (4.00, 6.00) |
Unknown | 624 | 529 | 529 | 514 |
RVLT_Delayed | 5.00 (4.00, 6.00) | 4.00 (3.00, 5.00) | 4.00 (2.00, 5.00) | 3.00 (2.00, 4.00) |
Unknown | 609 | 534 | 542 | 601 |
MAT_Score | 29 (23, 33) | 30 (23, 35) | 23 (18, 29) | 25 (19, 31) |
Unknown | 751 | 761 | 814 | 795 |
1Median (IQR); n (%) |
3) Structural Equation Model: Initial Models
Empty Model
mdl0 <- '
#measurement model - loadings are fixed to be invariant over time
EF_BL =~ a*Verbal_Fluency_Conservative.BL + b*MAT_Score.BL
EF_FU1 =~ a*Verbal_Fluency_Conservative.FU1 + b*MAT_Score.FU1
MEM_BL =~ c*COG_REYII_SCORE.BL + d*COG_REYI_SCORE.BL
MEM_FU1 =~ c*COG_REYII_SCORE.FU1 + d*COG_REYI_SCORE.FU1
#specify mean of latent scores
EF_BL ~ 1
EF_FU1 ~ 0*1
MEM_BL ~ 1
MEM_FU1 ~ 0*1
#specify variance of latent scores
EF_BL ~~ g*EF_BL
EF_FU1 ~~ 0*EF_FU1
MEM_BL ~~ h*MEM_BL
MEM_FU1 ~~ 0*MEM_FU1
#specify intercept of observed scores
Verbal_Fluency_Conservative.BL ~ 0*1
Verbal_Fluency_Conservative.FU1 ~ 0*1
MAT_Score.BL ~ 0*1
MAT_Score.FU1 ~ 0*1
COG_REYII_SCORE.BL ~ 0*1
COG_REYII_SCORE.FU1 ~ 0*1
COG_REYI_SCORE.BL ~ 0*1
COG_REYI_SCORE.FU1 ~ 0*1
#allow residuals in indicators to correlate over time
Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ MAT_Score.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.FU1
COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1
#specify variances of observed variables
Verbal_Fluency_Conservative.BL ~~ i*Verbal_Fluency_Conservative.BL
Verbal_Fluency_Conservative.FU1 ~~ i*Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ j*MAT_Score.BL
MAT_Score.FU1 ~~ j*MAT_Score.FU1
COG_REYII_SCORE.BL ~~ k*COG_REYII_SCORE.BL
COG_REYII_SCORE.FU1 ~~ k*COG_REYII_SCORE.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.BL
COG_REYI_SCORE.FU1 ~~ 0*COG_REYI_SCORE.FU1
#specify autoregressions of latent variables
EF_FU1 ~ 1*EF_BL
MEM_FU1 ~ 1*MEM_BL
#specify latent change score
EF_DELTA =~ 1*EF_FU1
MEM_DELTA =~ 1*MEM_FU1
#specify latent change score mean and variance
EF_DELTA ~ 1
EF_DELTA ~~ EF_DELTA
MEM_DELTA ~ 1
MEM_DELTA ~~ MEM_DELTA
#specify proportional change component
EF_DELTA ~~ EF_BL
MEM_DELTA ~~ MEM_BL
#cross-domain covariance
EF_DELTA ~~ MEM_BL
MEM_DELTA ~~ EF_BL
EF_BL ~~ MEM_BL
'
mdl0_fit <- wide.data2 %>%
filter(!entity_id%in%Mover_IDS) %>%
mutate(AgeGrp = Agebin.BL,
Sex = factor(SEX_ASK.BL,
levels = c("F","M")),
Age_sex = paste(AgeGrp,Sex)
) %>%
group_by(Age_sex) %>%
mutate(Age_BL = scale (AGE_NMBR.BL, scale=FALSE) / 10,
Age_FU1 = scale (AGE_NMBR.FU1,scale=FALSE)/10,
White = recode ( SDC_CULT_WH.BL,
'0' = -0.5,
'1' = 0.5),
BMI = HWT_DBMI.BL,
Multimorbidity = Chronic.BL,
Physical_activity = (PASE_total.BL - median (PASE_total.BL, na.rm=TRUE)) /100,
Material_deprivation = (MSDYY_MFS.BL - median (MSDYY_MFS.BL, na.rm=TRUE)) ,
Social_deprivation = (MSDYY_SFS.BL - median (MSDYY_SFS.BL, na.rm=TRUE) ),
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11.BL - median (ED_UDR11.BL, na.rm=TRUE),
Income = INC_TOT.BL - median (INC_TOT.BL, na.rm=TRUE) ,
Language_BL = as.numeric(factor(startlanguage.BL,
levels = c("en","fr"),
labels = c("'English", "French"))),
Language_FU1 = as.numeric(factor (startlanguage.FU1,
levels = c("en", "fr"),
labels = c("English", "French"))),
Depression = DEP_CESD10.BL - median (DEP_CESD10.BL, na.rm=TRUE),
Smoking = median (SMK_DSTY.BL, na.rm=TRUE) - SMK_DSTY.BL,
Alcohol = median (ALC_FREQ.BL, na.rm=TRUE) - ALC_FREQ.BL,
Air_pollution = Air_pollution.BL,
MatINT = Material_deprivation*Physical_activity,
SocINT = Social_deprivation*Physical_activity
) %>%
ungroup() %>%
cfa(mdl0,
data = .,
missing = "ML",
fixed.x = FALSE)
fitMeasures(mdl0_fit, c("cfi","tli","rmsea","srmr"))
## cfi tli rmsea srmr
## 0.954 0.941 0.082 0.080
parameterEstimates(mdl0_fit,standardized=TRUE,output="text",fmi=TRUE,remove.nonfree=TRUE)
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Scr.BL (b) 1.235 0.002 655.387 0.000 1.231 1.239
## EF_FU1 =~
## MAT_Sc.FU1 (b) 1.235 0.002 655.387 0.000 1.231 1.239
## MEM_BL =~
## COG_REYI_S (d) 1.379 0.002 725.371 0.000 1.375 1.383
## MEM_FU1 =~
## COG_REYI_S (d) 1.379 0.002 725.371 0.000 1.375 1.383
## Std.lv Std.all FMI
##
## 5.487 0.627 0.078
##
## 4.976 0.589 0.078
##
## 2.085 1.000 0.108
##
## 2.299 1.000 0.108
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 10.282 0.213 48.328 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 23.908 0.387 61.850 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.708 0.014 48.859 0.000
## EF_BL ~~
## EF_DELTA -2.646 0.149 -17.756 0.000
## MEM_BL ~~
## MEM_DELTA -0.938 0.014 -66.363 0.000
## EF_DELTA -0.219 0.034 -6.440 0.000
## EF_BL ~~
## MEM_DELTA 0.340 0.050 6.824 0.000
## MEM_BL 3.055 0.046 65.846 0.000
## EF_DELTA ~~
## MEM_DELTA 0.365 0.035 10.409 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 9.865 10.699 10.282 0.450 0.153
##
## 23.150 24.665 23.908 0.514 0.172
##
## 0.679 0.736 0.708 0.288 0.249
##
## -2.938 -2.354 -0.446 -0.446 0.248
##
## -0.966 -0.911 -0.403 -0.403 0.208
## -0.285 -0.152 -0.108 -0.108 0.261
##
## 0.243 0.438 0.050 0.050 0.243
## 2.964 3.146 0.455 0.455 0.040
##
## 0.296 0.433 0.177 0.177 0.279
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL 21.244 0.031 676.631 0.000 21.183 21.306
## MEM_BL 4.253 0.010 445.949 0.000 4.234 4.272
## EF_DELTA -0.423 0.022 -19.248 0.000 -0.466 -0.380
## MEM_DELTA 0.328 0.009 38.561 0.000 0.311 0.345
## Std.lv Std.all FMI
## 4.782 4.782 0.024
## 2.814 2.814 0.054
## -0.316 -0.316 0.226
## 0.213 0.213 0.203
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (g) 19.739 0.248 79.718 0.000 19.254 20.224
## MEM_BL (h) 2.285 0.017 131.175 0.000 2.251 2.319
## Vrb_F_C.BL (i) 22.860 0.208 109.970 0.000 22.452 23.267
## Vr_F_C.FU1 (i) 22.860 0.208 109.970 0.000 22.452 23.267
## .MAT_Scr.BL (j) 46.537 0.371 125.356 0.000 45.809 47.265
## .MAT_Sc.FU1 (j) 46.537 0.371 125.356 0.000 45.809 47.265
## COG_REYII_ (k) 2.456 0.014 181.786 0.000 2.429 2.482
## COG_REYII_ (k) 2.456 0.014 181.786 0.000 2.429 2.482
## EF_DELTA 1.785 0.171 10.462 0.000 1.451 2.120
## MEM_DELTA 2.371 0.020 118.229 0.000 2.332 2.411
## Std.lv Std.all FMI
## 1.000 1.000 0.046
## 1.000 1.000 0.047
## 22.860 0.537 0.102
## 22.860 0.585 0.102
## 46.537 0.607 0.094
## 46.537 0.653 0.094
## 2.456 0.518 0.137
## 2.456 0.469 0.137
## 1.000 1.000 0.290
## 1.000 1.000 0.231
Empty Model with separate age groups (45-64 years; 65+ years)
mdl0_multi <- '
#measurement model - loadings are fixed to be invariant over time
EF_BL =~ c(a1,a2)*Verbal_Fluency_Conservative.BL + c(b1,b2)*MAT_Score.BL
EF_FU1 =~ c(a1,a2)*Verbal_Fluency_Conservative.FU1 + c(b1,b2)*MAT_Score.FU1
MEM_BL =~ c(c1,c2)*COG_REYII_SCORE.BL + c(d1,d2)*COG_REYI_SCORE.BL
MEM_FU1 =~ c(c1,c2)*COG_REYII_SCORE.FU1 + c(d1,d2)*COG_REYI_SCORE.FU1
#specify mean of latent scores
EF_BL ~ c(e1,e2)*1
EF_FU1 ~ 0*1
MEM_BL ~ c(f1,f2)*1
MEM_FU1 ~ 0*1
#specify variance of latent scores
EF_BL ~~ c(g1,g2)*EF_BL
EF_FU1 ~~ 0*EF_FU1
MEM_BL ~~ c(h1,h2)*MEM_BL
MEM_FU1 ~~ 0*MEM_FU1
#specify intercept of observed scores
Verbal_Fluency_Conservative.BL ~ 0*1
Verbal_Fluency_Conservative.FU1 ~ 0*1
MAT_Score.BL ~ 0*1
MAT_Score.FU1 ~ 0*1
COG_REYII_SCORE.BL ~ 0*1
COG_REYII_SCORE.FU1 ~ 0*1
COG_REYI_SCORE.BL ~ 0*1
COG_REYI_SCORE.FU1 ~ 0*1
#allow residuals in indicators to correlate over time
Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ MAT_Score.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.FU1
COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1
#specify variances of observed variables
Verbal_Fluency_Conservative.BL ~~ c(q1,q2)*Verbal_Fluency_Conservative.BL
Verbal_Fluency_Conservative.FU1 ~~ c(q1,q2)*Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ c(i1,i2)*MAT_Score.BL
MAT_Score.FU1 ~~ c(i1,i2)*MAT_Score.FU1
COG_REYII_SCORE.BL ~~ c(k1,k2)*COG_REYII_SCORE.BL
COG_REYII_SCORE.FU1 ~~ c(k1,k2)*COG_REYII_SCORE.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.BL
COG_REYI_SCORE.FU1 ~~ 0*COG_REYI_SCORE.FU1
#specify autoregressions of latent variables
EF_FU1 ~ 1*EF_BL
MEM_FU1 ~ 1*MEM_BL
#specify latent change score
EF_DELTA =~ 1*EF_FU1
MEM_DELTA =~ 1*MEM_FU1
#specify latent change score mean and variance
EF_DELTA ~ c(m1,m2)*1
EF_DELTA ~~ c(n1,n2)*EF_DELTA
MEM_DELTA ~ c(o1,o2)*1
MEM_DELTA ~~ c(p1,p2)*MEM_DELTA
#specify proportional change component
EF_DELTA ~ EF_BL
MEM_DELTA ~ MEM_BL
#cross-domain covariance
EF_DELTA ~~ MEM_BL
MEM_DELTA ~~ EF_BL
EF_BL ~~ MEM_BL
'
mdl0_multi_fit <- wide.data2 %>%
filter(!entity_id%in%Mover_IDS) %>%
mutate(AgeGrp = Agebin.BL,
Sex = factor(SEX_ASK.BL,
levels = c("F","M")),
Age_sex = paste(AgeGrp,Sex)
) %>%
group_by(Age_sex) %>%
mutate(Age_BL = scale (AGE_NMBR.BL, scale=FALSE) / 10,
Age_FU1 = scale (AGE_NMBR.FU1,scale=FALSE)/10,
White = recode ( SDC_CULT_WH.BL,
'0' = -0.5,
'1' = 0.5),
BMI = HWT_DBMI.BL,
Multimorbidity = Chronic.BL,
Physical_activity = (PASE_total.BL - median (PASE_total.BL, na.rm=TRUE)) /100,
Material_deprivation = (MSDYY_MFS.BL - median (MSDYY_MFS.BL, na.rm=TRUE)) ,
Social_deprivation = (MSDYY_SFS.BL - median (MSDYY_SFS.BL, na.rm=TRUE) ),
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11.BL - median (ED_UDR11.BL, na.rm=TRUE),
Income = INC_TOT.BL - median (INC_TOT.BL, na.rm=TRUE) ,
Language_BL = as.numeric(factor(startlanguage.BL,
levels = c("en","fr"),
labels = c("'English", "French"))),
Language_FU1 = as.numeric(factor (startlanguage.FU1,
levels = c("en", "fr"),
labels = c("English", "French"))),
Depression = DEP_CESD10.BL - median (DEP_CESD10.BL, na.rm=TRUE),
Smoking = median (SMK_DSTY.BL, na.rm=TRUE) - SMK_DSTY.BL,
Alcohol = median (ALC_FREQ.BL, na.rm=TRUE) - ALC_FREQ.BL,
Air_pollution = Air_pollution.BL,
MatINT = Material_deprivation*Physical_activity,
SocINT = Social_deprivation*Physical_activity
) %>%
ungroup() %>%
cfa(mdl0,
data = .,
missing = "ML",
fixed.x = FALSE,
group = "AgeGrp")
fitMeasures(mdl0_multi_fit, c("cfi","tli","rmsea","srmr"))
## cfi tli rmsea srmr
## 0.942 0.937 0.079 0.075
parameterEstimates(mdl0_multi_fit,standardized=TRUE,output="data.frame",fmi=TRUE,remove.nonfree=TRUE)
## lhs op rhs block
## 2 EF_BL =~ MAT_Score.BL 1
## 4 EF_FU1 =~ MAT_Score.FU1 1
## 6 MEM_BL =~ COG_REYI_SCORE.BL 1
## 8 MEM_FU1 =~ COG_REYI_SCORE.FU1 1
## 9 EF_BL ~1 1
## 11 MEM_BL ~1 1
## 13 EF_BL ~~ EF_BL 1
## 15 MEM_BL ~~ MEM_BL 1
## 25 Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1 1
## 26 MAT_Score.BL ~~ MAT_Score.FU1 1
## 28 COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1 1
## 29 Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.BL 1
## 30 Verbal_Fluency_Conservative.FU1 ~~ Verbal_Fluency_Conservative.FU1 1
## 31 MAT_Score.BL ~~ MAT_Score.BL 1
## 32 MAT_Score.FU1 ~~ MAT_Score.FU1 1
## 33 COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.BL 1
## 34 COG_REYII_SCORE.FU1 ~~ COG_REYII_SCORE.FU1 1
## 41 EF_DELTA ~1 1
## 42 EF_DELTA ~~ EF_DELTA 1
## 43 MEM_DELTA ~1 1
## 44 MEM_DELTA ~~ MEM_DELTA 1
## 45 EF_BL ~~ EF_DELTA 1
## 46 MEM_BL ~~ MEM_DELTA 1
## 47 MEM_BL ~~ EF_DELTA 1
## 48 EF_BL ~~ MEM_DELTA 1
## 49 EF_BL ~~ MEM_BL 1
## 50 EF_DELTA ~~ MEM_DELTA 1
## 52 EF_BL =~ MAT_Score.BL 2
## 54 EF_FU1 =~ MAT_Score.FU1 2
## 56 MEM_BL =~ COG_REYI_SCORE.BL 2
## 58 MEM_FU1 =~ COG_REYI_SCORE.FU1 2
## 59 EF_BL ~1 2
## 61 MEM_BL ~1 2
## 63 EF_BL ~~ EF_BL 2
## 65 MEM_BL ~~ MEM_BL 2
## 75 Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1 2
## 76 MAT_Score.BL ~~ MAT_Score.FU1 2
## 78 COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1 2
## 79 Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.BL 2
## 80 Verbal_Fluency_Conservative.FU1 ~~ Verbal_Fluency_Conservative.FU1 2
## 81 MAT_Score.BL ~~ MAT_Score.BL 2
## 82 MAT_Score.FU1 ~~ MAT_Score.FU1 2
## 83 COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.BL 2
## 84 COG_REYII_SCORE.FU1 ~~ COG_REYII_SCORE.FU1 2
## 91 EF_DELTA ~1 2
## 92 EF_DELTA ~~ EF_DELTA 2
## 93 MEM_DELTA ~1 2
## 94 MEM_DELTA ~~ MEM_DELTA 2
## 95 EF_BL ~~ EF_DELTA 2
## 96 MEM_BL ~~ MEM_DELTA 2
## 97 MEM_BL ~~ EF_DELTA 2
## 98 EF_BL ~~ MEM_DELTA 2
## 99 EF_BL ~~ MEM_BL 2
## 100 EF_DELTA ~~ MEM_DELTA 2
## group label est se z pvalue ci.lower ci.upper std.lv std.all
## 2 1 b 1.234 0.002 656.557 0.000 1.231 1.238 4.982 0.588
## 4 1 b 1.234 0.002 656.557 0.000 1.231 1.238 4.229 0.525
## 6 1 d 1.379 0.002 721.553 0.000 1.375 1.383 2.017 1.000
## 8 1 d 1.379 0.002 721.553 0.000 1.375 1.383 2.170 1.000
## 9 1 22.867 0.038 597.638 0.000 22.792 22.942 5.665 5.665
## 11 1 4.584 0.012 397.580 0.000 4.561 4.607 3.135 3.135
## 13 1 g 16.291 0.224 72.755 0.000 15.852 16.730 1.000 1.000
## 15 1 h 2.138 0.016 130.985 0.000 2.106 2.170 1.000 1.000
## 25 1 9.722 0.228 42.685 0.000 9.275 10.168 9.722 0.430
## 26 1 24.990 0.422 59.155 0.000 24.162 25.818 24.990 0.532
## 28 1 0.707 0.018 38.736 0.000 0.671 0.743 0.707 0.288
## 29 1 i 22.609 0.203 111.551 0.000 22.212 23.006 22.609 0.581
## 30 1 i 22.609 0.203 111.551 0.000 22.212 23.006 22.609 0.658
## 31 1 j 46.936 0.368 127.626 0.000 46.216 47.657 46.936 0.654
## 32 1 j 46.936 0.368 127.626 0.000 46.216 47.657 46.936 0.724
## 33 1 k 2.456 0.014 181.773 0.000 2.429 2.482 2.456 0.535
## 34 1 k 2.456 0.014 181.773 0.000 2.429 2.482 2.456 0.498
## 41 1 -0.302 0.029 -10.579 0.000 -0.358 -0.246 -0.210 -0.210
## 42 1 2.074 0.217 9.549 0.000 1.648 2.500 1.000 1.000
## 43 1 0.456 0.011 41.588 0.000 0.435 0.478 0.297 0.297
## 44 1 2.355 0.025 93.527 0.000 2.306 2.404 1.000 1.000
## 45 1 -3.313 0.174 -19.038 0.000 -3.655 -2.972 -0.570 -0.570
## 46 1 -1.009 0.017 -60.054 0.000 -1.042 -0.976 -0.449 -0.449
## 47 1 -0.292 0.043 -6.823 0.000 -0.375 -0.208 -0.138 -0.138
## 48 1 0.105 0.060 1.754 0.079 -0.012 0.222 0.017 0.017
## 49 1 2.192 0.052 42.330 0.000 2.090 2.293 0.371 0.371
## 50 1 0.242 0.045 5.328 0.000 0.153 0.331 0.110 0.110
## 52 2 b 1.234 0.002 656.557 0.000 1.231 1.238 4.982 0.588
## 54 2 b 1.234 0.002 656.557 0.000 1.231 1.238 4.474 0.547
## 56 2 d 1.379 0.002 721.553 0.000 1.375 1.383 2.017 1.000
## 58 2 d 1.379 0.002 721.553 0.000 1.375 1.383 2.191 1.000
## 59 2 19.081 0.043 445.108 0.000 18.997 19.165 4.727 4.727
## 61 2 3.808 0.012 307.988 0.000 3.784 3.832 2.604 2.604
## 63 2 g 16.291 0.224 72.755 0.000 15.852 16.730 1.000 1.000
## 65 2 h 2.138 0.016 130.985 0.000 2.106 2.170 1.000 1.000
## 75 2 10.565 0.262 40.336 0.000 10.051 11.078 10.565 0.467
## 76 2 23.280 0.474 49.142 0.000 22.351 24.208 23.280 0.496
## 78 2 0.708 0.020 34.736 0.000 0.668 0.748 0.708 0.288
## 79 2 i 22.609 0.203 111.551 0.000 22.212 23.006 22.609 0.581
## 80 2 i 22.609 0.203 111.551 0.000 22.212 23.006 22.609 0.632
## 81 2 j 46.936 0.368 127.626 0.000 46.216 47.657 46.936 0.654
## 82 2 j 46.936 0.368 127.626 0.000 46.216 47.657 46.936 0.701
## 83 2 k 2.456 0.014 181.773 0.000 2.429 2.482 2.456 0.535
## 84 2 k 2.456 0.014 181.773 0.000 2.429 2.482 2.456 0.493
## 91 2 -0.612 0.034 -18.068 0.000 -0.679 -0.546 -0.539 -0.539
## 92 2 1.290 0.264 4.888 0.000 0.773 1.808 1.000 1.000
## 93 2 0.145 0.013 11.002 0.000 0.119 0.171 0.095 0.095
## 94 2 2.335 0.030 78.593 0.000 2.277 2.393 1.000 1.000
## 95 2 -2.219 0.207 -10.706 0.000 -2.626 -1.813 -0.484 -0.484
## 96 2 -0.975 0.019 -50.464 0.000 -1.013 -0.937 -0.436 -0.436
## 97 2 -0.223 0.050 -4.495 0.000 -0.320 -0.126 -0.134 -0.134
## 98 2 0.012 0.073 0.162 0.871 -0.132 0.156 0.002 0.002
## 99 2 2.537 0.058 43.971 0.000 2.424 2.650 0.430 0.430
## 100 2 0.480 0.054 8.891 0.000 0.374 0.586 0.276 0.276
## std.nox fmi
## 2 0.588 0.076
## 4 0.525 0.076
## 6 1.000 0.106
## 8 1.000 0.106
## 9 5.665 0.025
## 11 3.135 0.049
## 13 1.000 0.050
## 15 1.000 0.049
## 25 0.430 0.164
## 26 0.532 0.182
## 28 0.288 0.233
## 29 0.581 0.099
## 30 0.658 0.099
## 31 0.654 0.092
## 32 0.724 0.092
## 33 0.535 0.138
## 34 0.498 0.138
## 41 -0.210 0.188
## 42 1.000 0.259
## 43 0.297 0.171
## 44 1.000 0.209
## 45 -0.570 0.221
## 46 -0.449 0.185
## 47 -0.138 0.217
## 48 0.017 0.203
## 49 0.371 0.043
## 50 0.110 0.244
## 52 0.588 0.076
## 54 0.547 0.076
## 56 1.000 0.106
## 58 1.000 0.106
## 59 4.727 0.023
## 61 2.604 0.044
## 63 1.000 0.050
## 65 1.000 0.049
## 75 0.467 0.204
## 76 0.496 0.245
## 78 0.288 0.297
## 79 0.581 0.099
## 80 0.632 0.099
## 81 0.654 0.092
## 82 0.701 0.092
## 83 0.535 0.138
## 84 0.493 0.138
## 91 -0.539 0.265
## 92 1.000 0.339
## 93 0.095 0.239
## 94 1.000 0.281
## 95 -0.484 0.311
## 96 -0.436 0.266
## 97 -0.134 0.303
## 98 0.002 0.287
## 99 0.430 0.057
## 100 0.276 0.324
Empty Model with separate groups for age and sex
mdl0_multi_sex <- '
#measurement model - loadings are fixed to be invariant over time
EF_BL =~ c(a1,a2,a3,a4)*Verbal_Fluency_Conservative.BL + c(b1,b2,b3,b4)*MAT_Score.BL
EF_FU1 =~ c(a1,a2,a3,a4)*Verbal_Fluency_Conservative.FU1 + c(b1,b2,b3,b4)*MAT_Score.FU1
MEM_BL =~ c(c1,c2,c3,c4)*COG_REYII_SCORE.BL + c(d1,d2,d3,d4)*COG_REYI_SCORE.BL
MEM_FU1 =~ c(c1,c2,c3,c4)*COG_REYII_SCORE.FU1 + c(d1,d2,d3,d4)*COG_REYI_SCORE.FU1
#specify mean of latent scores
EF_BL ~ c(e1,e2,e3,e4)*1
EF_FU1 ~ 0*1
MEM_BL ~ c(f1,f2,f3,f4)*1
MEM_FU1 ~ 0*1
#specify variance of latent scores
EF_BL ~~ c(g1,g2,g3,g4)*EF_BL
EF_FU1 ~~ 0*EF_FU1
MEM_BL ~~ c(h1,h2,h3,h4)*MEM_BL
MEM_FU1 ~~ 0*MEM_FU1
#specify intercept of observed scores
Verbal_Fluency_Conservative.BL ~ 0*1
Verbal_Fluency_Conservative.FU1 ~ 0*1
MAT_Score.BL ~ 0*1
MAT_Score.FU1 ~ 0*1
COG_REYII_SCORE.BL ~ 0*1
COG_REYII_SCORE.FU1 ~ 0*1
COG_REYI_SCORE.BL ~ 0*1
COG_REYI_SCORE.FU1 ~ 0*1
#allow residuals in indicators to correlate over time
Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ MAT_Score.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.FU1
COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1
#specify variances of observed variables
Verbal_Fluency_Conservative.BL ~~ c(q1,q2,q3,q4)*Verbal_Fluency_Conservative.BL
Verbal_Fluency_Conservative.FU1 ~~ c(q1,q2,q3,q4)*Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ c(i1,i2,i3,i4)*MAT_Score.BL
MAT_Score.FU1 ~~ c(i1,i2,i3,i4)*MAT_Score.FU1
COG_REYII_SCORE.BL ~~ c(k1,k2,k3,k4)*COG_REYII_SCORE.BL
COG_REYII_SCORE.FU1 ~~ c(k1,k2,k3,k4)*COG_REYII_SCORE.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.BL
COG_REYI_SCORE.FU1 ~~ 0*COG_REYI_SCORE.FU1
#specify autoregressions of latent variables
EF_FU1 ~ 1*EF_BL
MEM_FU1 ~ 1*MEM_BL
#specify latent change score
EF_DELTA =~ 1*EF_FU1
MEM_DELTA =~ 1*MEM_FU1
#specify latent change score mean and variance
EF_DELTA ~ c(m1,m2,m3,m4)*1
EF_DELTA ~~ c(n1,n2,n3,n4)*EF_DELTA
MEM_DELTA ~ c(o1,o2,o3,o4)*1
MEM_DELTA ~~ c(p1,p2,p3,p4)*MEM_DELTA
#specify proportional change component
EF_DELTA ~~ EF_BL
MEM_DELTA ~~ MEM_BL
#cross-domain covariance
EF_DELTA ~~ MEM_BL
MEM_DELTA ~~ EF_BL
EF_BL ~~ MEM_BL
'
mdl0_multi_sex_fit <- wide.data2 %>%
filter(!entity_id%in%Mover_IDS) %>%
mutate(AgeGrp = Agebin.BL,
Sex = factor(SEX_ASK.BL,
levels = c("F","M")),
Age_sex = paste(AgeGrp,Sex)
) %>%
group_by(Age_sex) %>%
mutate(Age_BL = scale (AGE_NMBR.BL, scale=FALSE) / 10,
Age_FU1 = scale (AGE_NMBR.FU1,scale=FALSE)/10,
White = recode ( SDC_CULT_WH.BL,
'0' = -0.5,
'1' = 0.5),
BMI = HWT_DBMI.BL,
Multimorbidity = Chronic.BL,
Physical_activity = (PASE_total.BL - median (PASE_total.BL, na.rm=TRUE)) /100,
Material_deprivation = (MSDYY_MFS.BL - median (MSDYY_MFS.BL, na.rm=TRUE)) ,
Social_deprivation = (MSDYY_SFS.BL - median (MSDYY_SFS.BL, na.rm=TRUE) ),
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11.BL - median (ED_UDR11.BL, na.rm=TRUE),
Income = INC_TOT.BL - median (INC_TOT.BL, na.rm=TRUE) ,
Language_BL = as.numeric(factor(startlanguage.BL,
levels = c("en","fr"),
labels = c("'English", "French"))),
Language_FU1 = as.numeric(factor (startlanguage.FU1,
levels = c("en", "fr"),
labels = c("English", "French"))),
Depression = DEP_CESD10.BL - median (DEP_CESD10.BL, na.rm=TRUE),
Smoking = median (SMK_DSTY.BL, na.rm=TRUE) - SMK_DSTY.BL,
Alcohol = median (ALC_FREQ.BL, na.rm=TRUE) - ALC_FREQ.BL,
Air_pollution = Air_pollution.BL,
MatINT = Material_deprivation*Physical_activity,
SocINT = Social_deprivation*Physical_activity
) %>%
ungroup() %>%
cfa(mdl0_multi_sex,
data = .,
missing = "ML",
fixed.x = FALSE,
group = "Age_sex")
fitMeasures(mdl0_multi_sex_fit, c("cfi","tli","rmsea","srmr"))
## cfi tli rmsea srmr
## 0.959 0.948 0.071 0.069
parameterEstimates(mdl0_multi_sex_fit,standardized=TRUE,output="text",fmi=TRUE,remove.nonfree=TRUE)
##
##
## Group 1 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b1) 1.237 0.003 364.292 0.000 1.231 1.244
## EF_FU1 =~
## MAT_S.FU1 (b1) 1.237 0.003 364.292 0.000 1.231 1.244
## MEM_BL =~
## COG_REYI_ (d1) 1.402 0.003 402.367 0.000 1.395 1.409
## MEM_FU1 =~
## COG_REYI_ (d1) 1.402 0.003 402.367 0.000 1.395 1.409
## Std.lv Std.all FMI
##
## 5.176 0.595 0.065
##
## 4.372 0.530 0.065
##
## 1.870 1.000 0.093
##
## 2.012 1.000 0.093
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 11.537 0.420 27.444 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 26.541 0.751 35.339 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.599 0.024 25.353 0.000
## EF_BL ~~
## EF_DELTA -3.418 0.280 -12.213 0.000
## MEM_BL ~~
## MEM_DELTA -0.901 0.022 -40.755 0.000
## EF_DELTA -0.280 0.056 -4.977 0.000
## EF_BL ~~
## MEM_DELTA 0.090 0.084 1.068 0.286
## MEM_BL 2.300 0.075 30.685 0.000
## EF_DELTA ~~
## MEM_DELTA 0.326 0.062 5.296 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 10.713 12.361 11.537 0.457 0.133
##
## 25.069 28.013 26.541 0.542 0.139
##
## 0.553 0.646 0.599 0.276 0.206
##
## -3.966 -2.869 -0.605 -0.605 0.202
##
## -0.944 -0.858 -0.468 -0.468 0.161
## -0.391 -0.170 -0.156 -0.156 0.217
##
## -0.075 0.254 0.015 0.015 0.191
## 2.153 2.447 0.412 0.412 0.041
##
## 0.205 0.447 0.167 0.167 0.236
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (e1) 23.136 0.059 390.173 0.000 23.020 23.252
## MEM_BL (f1) 4.199 0.016 256.938 0.000 4.167 4.231
## EF_DELTA (m1) -0.315 0.041 -7.624 0.000 -0.396 -0.234
## MEM_DELTA (o1) 0.361 0.015 24.511 0.000 0.332 0.390
## Std.lv Std.all FMI
## 5.530 5.530 0.024
## 3.147 3.147 0.050
## -0.234 -0.234 0.186
## 0.250 0.250 0.161
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (g1) 17.503 0.455 38.495 0.000 16.612 18.394
## MEM_BL (h1) 1.780 0.026 69.800 0.000 1.730 1.830
## Vr_F_C.BL (q1) 25.252 0.413 61.180 0.000 24.443 26.061
## V_F_C.FU1 (q1) 25.252 0.413 61.180 0.000 24.443 26.061
## .MAT_Sc.BL (i1) 48.969 0.729 67.171 0.000 47.540 50.397
## .MAT_S.FU1 (i1) 48.969 0.729 67.171 0.000 47.540 50.397
## COG_REYII (k1) 2.174 0.022 97.391 0.000 2.131 2.218
## COG_REYII (k1) 2.174 0.022 97.391 0.000 2.131 2.218
## EF_DELTA (n1) 1.821 0.326 5.588 0.000 1.183 2.460
## MEM_DELTA (p1) 2.082 0.032 64.176 0.000 2.019 2.146
## Std.lv Std.all FMI
## 1.000 1.000 0.043
## 1.000 1.000 0.042
## 25.252 0.591 0.088
## 25.252 0.669 0.088
## 48.969 0.646 0.076
## 48.969 0.719 0.076
## 2.174 0.550 0.111
## 2.174 0.513 0.111
## 1.000 1.000 0.250
## 1.000 1.000 0.195
##
##
## Group 2 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b2) 1.244 0.004 281.500 0.000 1.236 1.253
## EF_FU1 =~
## MAT_S.FU1 (b2) 1.244 0.004 281.500 0.000 1.236 1.253
## MEM_BL =~
## COG_REYI_ (d2) 1.399 0.005 309.625 0.000 1.390 1.408
## MEM_FU1 =~
## COG_REYI_ (d2) 1.399 0.005 309.625 0.000 1.390 1.408
## Std.lv Std.all FMI
##
## 4.959 0.595 0.102
##
## 4.451 0.553 0.102
##
## 2.077 1.000 0.129
##
## 2.232 1.000 0.129
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 7.571 0.390 19.436 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 20.099 0.788 25.519 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.692 0.034 20.442 0.000
## EF_BL ~~
## EF_DELTA -2.228 0.294 -7.565 0.000
## MEM_BL ~~
## MEM_DELTA -1.091 0.032 -33.708 0.000
## EF_DELTA -0.296 0.071 -4.140 0.000
## EF_BL ~~
## MEM_DELTA 0.085 0.103 0.823 0.410
## MEM_BL 2.539 0.089 28.452 0.000
## EF_DELTA ~~
## MEM_DELTA 0.532 0.078 6.847 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 6.808 8.335 7.571 0.410 0.191
##
## 18.556 21.643 20.099 0.447 0.230
##
## 0.626 0.758 0.692 0.265 0.291
##
## -2.805 -1.651 -0.478 -0.478 0.280
##
## -1.155 -1.028 -0.463 -0.463 0.233
## -0.435 -0.156 -0.170 -0.170 0.299
##
## -0.117 0.287 0.013 0.013 0.273
## 2.364 2.714 0.429 0.429 0.052
##
## 0.380 0.685 0.287 0.287 0.321
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (e2) 18.564 0.061 303.941 0.000 18.445 18.684
## MEM_BL (f2) 4.092 0.021 197.461 0.000 4.051 4.132
## EF_DELTA (m2) -0.553 0.047 -11.838 0.000 -0.645 -0.462
## MEM_DELTA (o2) 0.188 0.019 9.762 0.000 0.150 0.226
## Std.lv Std.all FMI
## 4.658 4.658 0.027
## 2.757 2.757 0.068
## -0.473 -0.473 0.261
## 0.119 0.119 0.235
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (g2) 15.885 0.447 35.510 0.000 15.008 16.761
## MEM_BL (h2) 2.203 0.037 59.924 0.000 2.131 2.275
## Vr_F_C.BL (q2) 18.447 0.378 48.813 0.000 17.706 19.187
## V_F_C.FU1 (q2) 18.447 0.378 48.813 0.000 17.706 19.187
## .MAT_Sc.BL (i2) 44.926 0.740 60.679 0.000 43.475 46.377
## .MAT_S.FU1 (i2) 44.926 0.740 60.679 0.000 43.475 46.377
## COG_REYII (k2) 2.607 0.031 83.584 0.000 2.546 2.668
## COG_REYII (k2) 2.607 0.031 83.584 0.000 2.546 2.668
## EF_DELTA (n2) 1.367 0.363 3.765 0.000 0.656 2.079
## MEM_DELTA (p2) 2.523 0.048 52.846 0.000 2.430 2.617
## Std.lv Std.all FMI
## 1.000 1.000 0.058
## 1.000 1.000 0.056
## 18.447 0.537 0.128
## 18.447 0.590 0.128
## 44.926 0.646 0.120
## 44.926 0.694 0.120
## 2.607 0.542 0.165
## 2.607 0.506 0.165
## 1.000 1.000 0.332
## 1.000 1.000 0.271
##
##
## Group 3 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b3) 1.207 0.003 384.374 0.000 1.200 1.213
## EF_FU1 =~
## MAT_S.FU1 (b3) 1.207 0.003 384.374 0.000 1.200 1.213
## MEM_BL =~
## COG_REYI_ (d3) 1.290 0.003 492.327 0.000 1.285 1.296
## MEM_FU1 =~
## COG_REYI_ (d3) 1.290 0.003 492.327 0.000 1.285 1.296
## Std.lv Std.all FMI
##
## 4.661 0.584 0.067
##
## 3.773 0.504 0.067
##
## 2.014 1.000 0.105
##
## 2.169 1.000 0.105
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 11.747 0.388 30.295 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 20.363 0.632 32.210 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.560 0.026 21.228 0.000
## EF_BL ~~
## EF_DELTA -3.581 0.260 -13.766 0.000
## MEM_BL ~~
## MEM_DELTA -1.241 0.029 -42.127 0.000
## EF_DELTA -0.330 0.064 -5.197 0.000
## EF_BL ~~
## MEM_DELTA 0.227 0.092 2.475 0.013
## MEM_BL 2.327 0.080 29.085 0.000
## EF_DELTA ~~
## MEM_DELTA 0.149 0.071 2.112 0.035
## ci.lower ci.upper Std.lv Std.all FMI
##
## 10.987 12.507 11.747 0.476 0.142
##
## 19.124 21.602 20.363 0.486 0.174
##
## 0.508 0.611 0.560 0.229 0.250
##
## -4.090 -3.071 -0.653 -0.653 0.207
##
## -1.299 -1.184 -0.469 -0.469 0.164
## -0.455 -0.206 -0.149 -0.149 0.212
##
## 0.047 0.407 0.035 0.035 0.207
## 2.170 2.484 0.386 0.386 0.040
##
## 0.011 0.287 0.062 0.062 0.249
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (e3) 22.798 0.056 410.454 0.000 22.689 22.906
## MEM_BL (f3) 5.217 0.018 292.813 0.000 5.182 5.252
## EF_DELTA (m3) -0.294 0.040 -7.352 0.000 -0.373 -0.216
## MEM_DELTA (o3) 0.582 0.017 34.424 0.000 0.549 0.616
## Std.lv Std.all FMI
## 5.901 5.901 0.025
## 3.342 3.342 0.052
## -0.207 -0.207 0.187
## 0.344 0.344 0.171
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (g3) 14.925 0.397 37.585 0.000 14.147 15.704
## MEM_BL (h3) 2.437 0.033 72.935 0.000 2.371 2.502
## Vr_F_C.BL (q3) 24.664 0.379 65.163 0.000 23.923 25.406
## V_F_C.FU1 (q3) 24.664 0.379 65.163 0.000 23.923 25.406
## .MAT_Sc.BL (i3) 41.908 0.604 69.385 0.000 40.725 43.092
## .MAT_S.FU1 (i3) 41.908 0.604 69.385 0.000 40.725 43.092
## COG_REYII (k3) 2.447 0.024 100.708 0.000 2.399 2.495
## COG_REYII (k3) 2.447 0.024 100.708 0.000 2.399 2.495
## EF_DELTA (n3) 2.012 0.314 6.410 0.000 1.397 2.627
## MEM_DELTA (p3) 2.871 0.043 66.475 0.000 2.786 2.955
## Std.lv Std.all FMI
## 1.000 1.000 0.043
## 1.000 1.000 0.046
## 24.664 0.623 0.087
## 24.664 0.716 0.087
## 41.908 0.659 0.084
## 41.908 0.746 0.084
## 2.447 0.501 0.119
## 2.447 0.464 0.119
## 1.000 1.000 0.261
## 1.000 1.000 0.208
##
##
## Group 4 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b4) 1.277 0.005 271.989 0.000 1.268 1.287
## EF_FU1 =~
## MAT_S.FU1 (b4) 1.277 0.005 271.989 0.000 1.268 1.287
## MEM_BL =~
## COG_REYI_ (d4) 1.599 0.007 244.641 0.000 1.587 1.612
## MEM_FU1 =~
## COG_REYI_ (d4) 1.599 0.007 244.641 0.000 1.587 1.612
## Std.lv Std.all FMI
##
## 5.138 0.586 0.090
##
## 4.803 0.560 0.090
##
## 1.907 1.000 0.128
##
## 2.024 1.000 0.128
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 9.026 0.433 20.856 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 27.942 0.897 31.166 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.606 0.029 21.051 0.000
## EF_BL ~~
## EF_DELTA -1.881 0.306 -6.149 0.000
## MEM_BL ~~
## MEM_DELTA -0.692 0.021 -33.383 0.000
## EF_DELTA -0.131 0.058 -2.244 0.025
## EF_BL ~~
## MEM_DELTA -0.084 0.084 -0.994 0.320
## MEM_BL 2.445 0.076 32.286 0.000
## EF_DELTA ~~
## MEM_DELTA 0.355 0.062 5.702 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 8.178 9.874 9.026 0.426 0.179
##
## 26.185 29.699 27.942 0.554 0.188
##
## 0.550 0.663 0.606 0.274 0.278
##
## -2.480 -1.281 -0.357 -0.357 0.297
##
## -0.733 -0.651 -0.464 -0.464 0.216
## -0.246 -0.017 -0.084 -0.084 0.301
##
## -0.248 0.081 -0.017 -0.017 0.276
## 2.296 2.593 0.510 0.510 0.050
##
## 0.233 0.477 0.216 0.216 0.320
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (e4) 19.266 0.064 301.567 0.000 19.141 19.392
## MEM_BL (f4) 2.987 0.018 168.126 0.000 2.952 3.021
## EF_DELTA (m4) -0.665 0.048 -13.884 0.000 -0.759 -0.571
## MEM_DELTA (o4) 0.086 0.015 5.646 0.000 0.056 0.116
## Std.lv Std.all FMI
## 4.790 4.790 0.029
## 2.504 2.504 0.073
## -0.507 -0.507 0.268
## 0.069 0.069 0.229
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL (g4) 16.176 0.479 33.743 0.000 15.236 17.115
## MEM_BL (h4) 1.422 0.025 57.159 0.000 1.374 1.471
## Vr_F_C.BL (q4) 21.209 0.420 50.481 0.000 20.386 22.033
## V_F_C.FU1 (q4) 21.209 0.420 50.481 0.000 20.386 22.033
## .MAT_Sc.BL (i4) 50.479 0.858 58.813 0.000 48.797 52.161
## .MAT_S.FU1 (i4) 50.479 0.858 58.813 0.000 48.797 52.161
## COG_REYII (k4) 2.214 0.027 82.879 0.000 2.161 2.266
## COG_REYII (k4) 2.214 0.027 82.879 0.000 2.161 2.266
## EF_DELTA (n4) 1.719 0.365 4.708 0.000 1.004 2.435
## MEM_DELTA (p4) 1.564 0.031 51.179 0.000 1.504 1.624
## Std.lv Std.all FMI
## 1.000 1.000 0.060
## 1.000 1.000 0.060
## 21.209 0.567 0.122
## 21.209 0.600 0.122
## 50.479 0.657 0.109
## 50.479 0.686 0.109
## 2.214 0.609 0.162
## 2.214 0.580 0.162
## 1.000 1.000 0.338
## 1.000 1.000 0.250
4) Structural Equation Model: Main Effects Model
This structural equation model only includes the main effects for our
regressions (i.e., no interaction terms). The regressions modeled the
following:
Whether material or social deprivation (measured using CANOE), or
physical activity (measured using the PASE score) at baseline were
independent predictors of baseline executive function or
memory.
Whether material or social deprivation or physical activity at
baseline were independent predictors of changes in executive function or
memory from baseline to Follow-Up 1.
All parameter estimates of this model are provided in the spreadsheet
“Age and Sex - Model Independent Model.csv”
mdl4_multi <- '
#measurement model - loadings are fixed to be invariant over time
EF_BL =~ c(a1,a2,a3,a4)*Verbal_Fluency_Conservative.BL + c(b1,b2,b3,b4)*MAT_Score.BL
EF_FU1 =~ c(a1,a2,a3,a4)*Verbal_Fluency_Conservative.FU1 + c(b1,b2,b3,b4)*MAT_Score.FU1
MEM_BL =~ c(c1,c2,c3,c4)*COG_REYII_SCORE.BL + c(d1,d2,d3,d4)*COG_REYI_SCORE.BL
MEM_FU1 =~ c(c1,c2,c3,c4)*COG_REYII_SCORE.FU1 + c(d1,d2,d3,d4)*COG_REYI_SCORE.FU1
#specify mean of latent scores
EF_BL ~ c(e1,e2,e3,e4)*1
EF_FU1 ~ 0*1
MEM_BL ~ c(f1,f2,f3,f4)*1
MEM_FU1 ~ 0*1
#specify variance of latent scores
EF_BL ~~ c(g1,g2,g3,g4)*EF_BL
EF_FU1 ~~ 0*EF_FU1
MEM_BL ~~ c(h1,h2,h3,h4)*MEM_BL
MEM_FU1 ~~ 0*MEM_FU1
#specify intercept of observed scores
Verbal_Fluency_Conservative.BL ~ 0*1
Verbal_Fluency_Conservative.FU1 ~ 0*1
MAT_Score.BL ~ 0*1
MAT_Score.FU1 ~ 0*1
COG_REYII_SCORE.BL ~ 0*1
COG_REYII_SCORE.FU1 ~ 0*1
COG_REYI_SCORE.BL ~ 0*1
COG_REYI_SCORE.FU1 ~ 0*1
#allow residuals in indicators to correlate over time
Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ MAT_Score.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.FU1
COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1
#specify variances of observed variables
Verbal_Fluency_Conservative.BL ~~ c(i1,i2,i3,i4)*Verbal_Fluency_Conservative.BL
Verbal_Fluency_Conservative.FU1 ~~ c(i1,i2,i3,i4)*Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ c(j1,j2,j3,j4)*MAT_Score.BL
MAT_Score.FU1 ~~ c(j1,j2,j3,j4)*MAT_Score.FU1
COG_REYII_SCORE.BL ~~ c(k1,k2,k3,k4)*COG_REYII_SCORE.BL
COG_REYII_SCORE.FU1 ~~ c(k1,k2,k3,k4)*COG_REYII_SCORE.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.BL
COG_REYI_SCORE.FU1 ~~ 0*COG_REYI_SCORE.FU1
#specify autoregressions of latent variables
#EF_FU1 ~ 1*EF_BL
#MEM_FU1 ~ 1*MEM_BL
#specify latent change score
EF_DELTA =~ 1*EF_FU1
MEM_DELTA =~ 1*MEM_FU1
#specify latent change score mean and variance
EF_DELTA ~ c(l1,l2,l3,l4)*1
EF_DELTA ~~ c(m1,m2,m3,m4)*EF_DELTA
MEM_DELTA ~ c(n1,n2,n3,n4)*1
MEM_DELTA ~~ c(o1,o2,o3,o4)*MEM_DELTA
#specify proportional change component
EF_DELTA ~ EF_BL
MEM_DELTA ~ MEM_BL
#cross-domain covariance
EF_DELTA ~~ MEM_BL
MEM_DELTA ~~ EF_BL
EF_BL ~~ MEM_BL
#regressions
EF_DELTA + EF_BL ~ Multimorbidity + Education + Income + BMI + Source.BL + White + Smoking + Alcohol + Depression
EF_BL ~ Age_BL + Language_BL
EF_DELTA ~ Age_BL + Language_FU1
EF_BL ~ c(c111a, c111b, c111c, c111d)*Material_deprivation + c(c121a, c121b, c121c, c121d)*Social_deprivation + c(b11a, b11b, b11c, b11d)*Physical_activity
EF_DELTA ~ c(c211a, c211b, c211c, c211d)*Material_deprivation + c(c221a, c221b, c221c, c221d)*Social_deprivation + c(b21a, b21b, b21c, b21d)*Physical_activity
MEM_DELTA + MEM_BL ~ Multimorbidity + Education + Income + BMI + Source.BL + White + Smoking + Alcohol + Depression
MEM_BL ~ Age_BL + Language_BL
MEM_DELTA ~ Age_BL + Language_FU1
MEM_BL ~ c(c112a,c112b,c112c,c122d)*Material_deprivation + c(c122a,c122b,c122c,c122d)*Social_deprivation + c(b12a,b12b,b12c,b12d)*Physical_activity
MEM_DELTA ~ c(c212a,c212b,c212c,c212d)*Material_deprivation + c(c222a,c222b,c222c,c222d)*Social_deprivation + c(b22a,b22b,b22c,b22d)*Physical_activity
'
mdl4_multi_fit <- wide.data2 %>%
filter(!entity_id%in%Mover_IDS) %>%
mutate(AgeGrp = Agebin.BL,
Sex = factor(SEX_ASK.BL,
levels = c("F","M")),
Age_sex = paste(AgeGrp,Sex)
) %>%
group_by(Age_sex) %>%
mutate(Age_BL = scale (AGE_NMBR.BL, scale=FALSE)/10,
Age_FU1 = scale (AGE_NMBR.FU1,scale=FALSE)/10,
White = recode ( SDC_CULT_WH.BL,
'0' = -0.5,
'1' = 0.5),
BMI = HWT_DBMI.BL,
Multimorbidity = Chronic.BL,
Physical_activity = (PASE_total.BL - median (PASE_total.BL, na.rm=TRUE))/100,
Material_deprivation = (MSDYY_MFS.BL - median (MSDYY_MFS.BL, na.rm=TRUE))*10,
Social_deprivation = (MSDYY_SFS.BL - median (MSDYY_SFS.BL, na.rm=TRUE))*10,
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11.BL - median (ED_UDR11.BL, na.rm=TRUE),
Income = INC_TOT.BL - median (INC_TOT.BL, na.rm=TRUE) ,
Language_BL = as.numeric(factor(startlanguage.BL,
levels = c("en","fr"),
labels = c("'English", "French"))),
Language_FU1 = as.numeric(factor (startlanguage.FU1,
levels = c("en", "fr"),
labels = c("English", "French"))),
Depression = DEP_CESD10.BL - median (DEP_CESD10.BL, na.rm=TRUE),
Smoking = median (SMK_DSTY.BL, na.rm=TRUE) - SMK_DSTY.BL,
Alcohol = median (ALC_FREQ.BL, na.rm=TRUE) - ALC_FREQ.BL,
Air_pollution = Air_pollution.BL,
MatINT = Material_deprivation*Physical_activity,
SocINT = Social_deprivation*Physical_activity
) %>%
ungroup() %>%
cfa(mdl4_multi,
data = .,
missing = "ML",
fixed.x = FALSE,
group = "Age_sex")
summary(mdl4_multi_fit)
## lavaan 0.6.14 ended normally after 1786 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 872
## Number of equality constraints 21
##
## Number of observations per group:
## 45-64 M 11567
## 65+ F 8953
## 45-64 F 12234
## 65+ M 8845
## Number of missing patterns per group:
## 45-64 M 348
## 65+ F 477
## 45-64 F 336
## 65+ M 439
##
## Model Test User Model:
##
## Test statistic 6581.160
## Degrees of freedom 345
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 45-64 M 1736.354
## 65+ F 1533.499
## 45-64 F 1788.978
## 65+ M 1522.329
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
##
## Group 1 [45-64 M]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a1) 1.000
## MAT_Sc.BL (b1) 1.237 0.003 365.420 0.000
## EF_FU1 =~
## V_F_C.FU1 (a1) 1.000
## MAT_S.FU1 (b1) 1.237 0.003 365.420 0.000
## MEM_BL =~
## COG_REYII (c1) 1.000
## COG_REYI_ (d1) 1.402 0.003 402.394 0.000
## MEM_FU1 =~
## COG_REYII (c1) 1.000
## COG_REYI_ (d1) 1.402 0.003 402.394 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_DELTA ~
## EF_BL 0.770 0.018 43.462 0.000
## MEM_DELTA ~
## MEM_BL 0.428 0.010 42.513 0.000
## EF_DELTA ~
## Mltmrbd -0.040 0.027 -1.468 0.142
## Educatn 0.063 0.021 2.958 0.003
## Income 0.024 0.042 0.574 0.566
## BMI -0.002 0.008 -0.257 0.797
## Sorc.BL -0.524 0.080 -6.512 0.000
## White 0.537 0.185 2.895 0.004
## Smoking -0.005 0.029 -0.179 0.858
## Alcohol 0.047 0.018 2.556 0.011
## Deprssn -0.004 0.009 -0.456 0.648
## EF_BL ~
## Mltmrbd -0.001 0.035 -0.041 0.967
## Educatn 0.508 0.025 20.251 0.000
## Income 0.487 0.054 8.989 0.000
## BMI 0.002 0.011 0.165 0.869
## Sorc.BL 0.020 0.105 0.190 0.849
## White 4.092 0.215 19.013 0.000
## Smoking -0.088 0.036 -2.427 0.015
## Alcohol 0.122 0.024 5.160 0.000
## Deprssn -0.071 0.011 -6.184 0.000
## Age_BL -1.293 0.096 -13.442 0.000
## Lngg_BL -1.102 0.133 -8.257 0.000
## EF_DELTA ~
## Age_BL -0.407 0.077 -5.278 0.000
## Lng_FU1 0.031 0.102 0.299 0.765
## EF_BL ~
## Mtrl_dp (c111) -0.607 0.141 -4.312 0.000
## Scl_dpr (c121) 0.040 0.130 0.307 0.759
## Physcl_ (b11a) 0.102 0.060 1.684 0.092
## EF_DELTA ~
## Mtrl_dp (c211) 0.008 0.109 0.072 0.943
## Scl_dpr (c221) 0.127 0.099 1.277 0.202
## Physcl_ (b21a) 0.046 0.045 1.023 0.306
## MEM_DELTA ~
## Mltmrbd -0.013 0.009 -1.430 0.153
## Educatn 0.068 0.007 10.208 0.000
## Income 0.030 0.014 2.127 0.033
## BMI -0.003 0.003 -0.913 0.361
## Sorc.BL -0.407 0.027 -14.936 0.000
## White 0.335 0.058 5.744 0.000
## Smoking -0.036 0.010 -3.667 0.000
## Alcohol 0.014 0.006 2.225 0.026
## Deprssn -0.013 0.003 -4.211 0.000
## MEM_BL ~
## Mltmrbd -0.017 0.009 -1.930 0.054
## Educatn 0.088 0.006 14.149 0.000
## Income 0.070 0.013 5.192 0.000
## BMI -0.004 0.003 -1.457 0.145
## Sorc.BL 0.004 0.026 0.157 0.875
## White 0.386 0.053 7.213 0.000
## Smoking -0.015 0.009 -1.705 0.088
## Alcohol 0.003 0.006 0.433 0.665
## Deprssn -0.019 0.003 -6.618 0.000
## Age_BL -0.267 0.024 -11.186 0.000
## Lngg_BL -0.232 0.033 -7.054 0.000
## MEM_DELTA ~
## Age_BL -0.270 0.025 -10.761 0.000
## Lng_FU1 -0.066 0.034 -1.935 0.053
## MEM_BL ~
## Mtrl_dp (c112) -0.190 0.035 -5.445 0.000
## Scl_dpr (c122) 0.013 0.032 0.408 0.683
## Physcl_ (b12a) 0.022 0.015 1.465 0.143
## MEM_DELTA ~
## Mtrl_dp (c212) -0.110 0.037 -2.987 0.003
## Scl_dpr (c222) -0.000 0.034 -0.008 0.994
## Physcl_ (b22a) 0.041 0.015 2.717 0.007
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 11.642 0.411 28.356 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 26.367 0.735 35.870 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.600 0.024 25.357 0.000
## .MEM_BL ~~
## .EF_DELTA 0.143 0.050 2.828 0.005
## .EF_BL ~~
## .MEM_DELTA 0.783 0.065 12.044 0.000
## .MEM_BL 1.494 0.065 23.021 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.336 0.047 7.115 0.000
## Multimorbidity ~~
## Education -0.488 0.034 -14.556 0.000
## Income -0.317 0.018 -18.053 0.000
## BMI 1.930 0.077 25.201 0.000
## Source.BL 0.004 0.007 0.565 0.572
## White 0.004 0.004 1.057 0.291
## Smoking 0.311 0.022 14.072 0.000
## Alcohol -0.440 0.034 -12.894 0.000
## Depression 1.584 0.071 22.271 0.000
## Age_BL 0.203 0.008 24.097 0.000
## Language_BL -0.013 0.006 -2.231 0.026
## Language_FU1 -0.013 0.006 -2.226 0.026
## Materil_dprvtn 0.054 0.006 8.928 0.000
## Social_deprvtn 0.041 0.006 6.529 0.000
## Physical_ctvty -0.206 0.014 -14.612 0.000
## Education ~~
## Income 0.856 0.025 34.583 0.000
## BMI -1.243 0.101 -12.246 0.000
## Source.BL -0.138 0.010 -13.869 0.000
## White -0.024 0.005 -4.948 0.000
## Smoking -0.858 0.031 -27.821 0.000
## Alcohol 0.593 0.046 12.818 0.000
## Depression -1.410 0.095 -14.845 0.000
## Age_BL -0.047 0.011 -4.245 0.000
## Language_BL -0.032 0.008 -4.125 0.000
## Language_FU1 -0.031 0.008 -3.913 0.000
## Materil_dprvtn -0.237 0.008 -27.995 0.000
## Social_deprvtn -0.088 0.009 -10.259 0.000
## Physical_ctvty -0.052 0.019 -2.687 0.007
## Income ~~
## BMI -0.113 0.052 -2.164 0.030
## Source.BL -0.050 0.005 -9.675 0.000
## White 0.020 0.003 7.821 0.000
## Smoking -0.357 0.016 -22.571 0.000
## Alcohol 0.567 0.024 23.239 0.000
## Depression -1.239 0.050 -24.661 0.000
## Age_BL -0.102 0.006 -17.462 0.000
## Language_BL -0.056 0.004 -13.722 0.000
## Language_FU1 -0.054 0.004 -13.277 0.000
## Materil_dprvtn -0.136 0.004 -30.690 0.000
## Social_deprvtn -0.139 0.005 -29.967 0.000
## Physical_ctvty 0.157 0.010 15.703 0.000
## BMI ~~
## Source.BL -0.102 0.022 -4.660 0.000
## White 0.069 0.011 6.448 0.000
## Smoking -0.060 0.066 -0.909 0.363
## Alcohol -1.339 0.103 -12.979 0.000
## Depression 1.487 0.210 7.071 0.000
## Age_BL 0.100 0.025 3.994 0.000
## Language_BL -0.078 0.017 -4.499 0.000
## Language_FU1 -0.078 0.017 -4.466 0.000
## Materil_dprvtn 0.145 0.018 7.920 0.000
## Social_deprvtn -0.028 0.019 -1.483 0.138
## Physical_ctvty -0.333 0.043 -7.800 0.000
## Source.BL ~~
## White 0.001 0.001 1.024 0.306
## Smoking 0.037 0.006 5.690 0.000
## Alcohol -0.055 0.010 -5.499 0.000
## Depression 0.052 0.020 2.547 0.011
## Age_BL -0.007 0.002 -2.682 0.007
## Language_BL -0.003 0.002 -1.524 0.127
## Language_FU1 -0.003 0.002 -1.627 0.104
## Materil_dprvtn 0.036 0.002 20.024 0.000
## Social_deprvtn 0.002 0.002 1.108 0.268
## Physical_ctvty 0.011 0.004 2.754 0.006
## White ~~
## Smoking 0.010 0.003 3.215 0.001
## Alcohol 0.080 0.005 15.651 0.000
## Depression -0.023 0.010 -2.295 0.022
## Age_BL 0.009 0.001 7.860 0.000
## Language_BL 0.001 0.001 1.584 0.113
## Language_FU1 0.002 0.001 1.943 0.052
## Materil_dprvtn -0.006 0.001 -6.654 0.000
## Social_deprvtn 0.002 0.001 2.349 0.019
## Physical_ctvty 0.006 0.002 3.046 0.002
## Smoking ~~
## Alcohol 0.088 0.030 2.900 0.004
## Depression 0.843 0.062 13.504 0.000
## Age_BL 0.062 0.007 8.355 0.000
## Language_BL 0.051 0.005 9.997 0.000
## Language_FU1 0.051 0.005 9.907 0.000
## Materil_dprvtn 0.091 0.005 16.721 0.000
## Social_deprvtn 0.081 0.006 14.129 0.000
## Physical_ctvty -0.058 0.013 -4.523 0.000
## Alcohol ~~
## Depression -1.256 0.096 -13.054 0.000
## Age_BL 0.056 0.011 4.927 0.000
## Language_BL 0.046 0.008 5.826 0.000
## Language_FU1 0.049 0.008 6.188 0.000
## Materil_dprvtn -0.126 0.008 -15.029 0.000
## Social_deprvtn -0.058 0.009 -6.667 0.000
## Physical_ctvty 0.127 0.019 6.557 0.000
## Depression ~~
## Age_BL -0.073 0.023 -3.138 0.002
## Language_BL -0.043 0.016 -2.679 0.007
## Language_FU1 -0.046 0.016 -2.847 0.004
## Materil_dprvtn 0.148 0.017 8.618 0.000
## Social_deprvtn 0.243 0.018 13.513 0.000
## Physical_ctvty -0.507 0.040 -12.710 0.000
## Age_BL ~~
## Language_BL -0.004 0.002 -2.035 0.042
## Language_FU1 -0.004 0.002 -2.225 0.026
## Materil_dprvtn -0.005 0.002 -2.293 0.022
## Social_deprvtn -0.003 0.002 -1.407 0.159
## Physical_ctvty -0.080 0.005 -16.849 0.000
## Language_BL ~~
## Language_FU1 0.142 0.002 75.314 0.000
## Materil_dprvtn 0.023 0.001 15.852 0.000
## Social_deprvtn 0.021 0.001 14.464 0.000
## Physical_ctvty -0.010 0.003 -3.076 0.002
## Language_FU1 ~~
## Materil_dprvtn 0.022 0.001 15.472 0.000
## Social_deprvtn 0.021 0.001 14.365 0.000
## Physical_ctvty -0.010 0.003 -3.225 0.001
## Material_deprivation ~~
## Social_deprvtn 0.013 0.002 8.236 0.000
## Physical_ctvty -0.002 0.003 -0.589 0.556
## Social_deprivation ~~
## Physical_ctvty -0.025 0.004 -6.936 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e1) 23.270 0.383 60.699 0.000
## .EF_FU1 0.000
## .MEM_BL (f1) 4.540 0.095 47.681 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l1) 5.626 0.505 11.133 0.000
## .MEM_DELTA (n1) 3.408 0.110 31.045 0.000
## Mltmrbdty 1.653 0.015 110.000 0.000
## Education -0.498 0.021 -24.277 0.000
## Income -0.459 0.011 -43.251 0.000
## BMI 28.329 0.046 619.953 0.000
## Source.BL 1.361 0.004 304.769 0.000
## White 0.442 0.002 202.808 0.000
## Smoking 0.493 0.014 36.456 0.000
## Alcohol -1.048 0.021 -50.333 0.000
## Depressin 1.119 0.043 26.236 0.000
## Age_BL 0.000 0.005 0.000 1.000
## Langug_BL 1.174 0.004 333.162 0.000
## Langg_FU1 1.175 0.004 331.654 0.000
## Mtrl_dprv 0.026 0.004 6.938 0.000
## Scl_dprvt 0.030 0.004 7.638 0.000
## Physcl_ct 0.079 0.009 9.208 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g1) 12.702 0.395 32.191 0.000
## .EF_FU1 0.000
## .MEM_BL (h1) 1.633 0.023 69.783 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i1) 25.367 0.403 62.977 0.000
## .V_F_C.FU1 (i1) 25.367 0.403 62.977 0.000
## .MAT_Sc.BL (j1) 48.775 0.713 68.412 0.000
## .MAT_S.FU1 (j1) 48.775 0.713 68.412 0.000
## .COG_REYII (k1) 2.174 0.022 97.397 0.000
## .COG_REYII (k1) 2.174 0.022 97.397 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m1) 0.960 0.256 3.745 0.000
## .MEM_DELTA (o1) 1.499 0.023 64.632 0.000
## Mltmrbdty 2.500 0.034 73.918 0.000
## Education 4.856 0.064 75.991 0.000
## Income 1.273 0.017 74.702 0.000
## BMI 24.073 0.317 75.880 0.000
## Source.BL 0.231 0.003 76.049 0.000
## White 0.055 0.001 76.049 0.000
## Smoking 2.102 0.028 75.861 0.000
## Alcohol 4.929 0.066 75.145 0.000
## Depressin 20.969 0.276 75.905 0.000
## Age_BL 0.297 0.004 76.049 0.000
## Langug_BL 0.144 0.002 76.049 0.000
## Langg_FU1 0.145 0.002 75.765 0.000
## Mtrl_dprv 0.154 0.002 74.528 0.000
## Scl_dprvt 0.168 0.002 74.528 0.000
## Physcl_ct 0.783 0.011 72.620 0.000
##
##
## Group 2 [65+ F]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a2) 1.000
## MAT_Sc.BL (b2) 1.243 0.004 283.294 0.000
## EF_FU1 =~
## V_F_C.FU1 (a2) 1.000
## MAT_S.FU1 (b2) 1.243 0.004 283.294 0.000
## MEM_BL =~
## COG_REYII (c2) 1.000
## COG_REYI_ (d2) 1.399 0.005 309.601 0.000
## MEM_FU1 =~
## COG_REYII (c2) 1.000
## COG_REYI_ (d2) 1.399 0.005 309.601 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_DELTA ~
## EF_BL 0.794 0.023 34.262 0.000
## MEM_DELTA ~
## MEM_BL 0.424 0.012 34.202 0.000
## EF_DELTA ~
## Mltmrbd 0.024 0.024 1.008 0.314
## Educatn 0.015 0.022 0.677 0.498
## Income 0.055 0.058 0.963 0.335
## BMI 0.026 0.008 3.178 0.001
## Sorc.BL -0.622 0.091 -6.821 0.000
## White 0.327 0.291 1.123 0.261
## Smoking -0.039 0.036 -1.081 0.280
## Alcohol 0.057 0.019 2.914 0.004
## Deprssn -0.014 0.010 -1.406 0.160
## EF_BL ~
## Mltmrbd -0.055 0.028 -1.978 0.048
## Educatn 0.502 0.022 22.865 0.000
## Income 0.307 0.069 4.455 0.000
## BMI 0.018 0.010 1.886 0.059
## Sorc.BL 0.056 0.107 0.524 0.600
## White 2.712 0.321 8.439 0.000
## Smoking -0.046 0.041 -1.123 0.262
## Alcohol 0.089 0.023 3.899 0.000
## Deprssn -0.087 0.011 -7.764 0.000
## Age_BL -1.941 0.094 -20.670 0.000
## Lngg_BL -1.268 0.137 -9.246 0.000
## EF_DELTA ~
## Age_BL -0.778 0.091 -8.504 0.000
## Lng_FU1 -0.236 0.118 -1.995 0.046
## EF_BL ~
## Mtrl_dp (c111) -0.497 0.138 -3.604 0.000
## Scl_dpr (c121) 0.056 0.133 0.424 0.671
## Physcl_ (b11b) 0.495 0.092 5.356 0.000
## EF_DELTA ~
## Mtrl_dp (c211) -0.019 0.117 -0.162 0.871
## Scl_dpr (c221) -0.036 0.112 -0.323 0.747
## Physcl_ (b21b) 0.199 0.075 2.642 0.008
## MEM_DELTA ~
## Mltmrbd -0.010 0.009 -1.014 0.311
## Educatn 0.037 0.008 4.943 0.000
## Income 0.083 0.023 3.650 0.000
## BMI 0.000 0.003 0.123 0.902
## Sorc.BL -0.169 0.036 -4.673 0.000
## White 0.315 0.111 2.837 0.005
## Smoking -0.022 0.014 -1.515 0.130
## Alcohol 0.006 0.008 0.777 0.437
## Deprssn -0.008 0.004 -2.066 0.039
## MEM_BL ~
## Mltmrbd -0.007 0.008 -0.895 0.371
## Educatn 0.090 0.007 13.569 0.000
## Income 0.074 0.021 3.526 0.000
## BMI 0.007 0.003 2.422 0.015
## Sorc.BL 0.386 0.032 11.892 0.000
## White 0.290 0.097 2.987 0.003
## Smoking -0.030 0.012 -2.395 0.017
## Alcohol 0.022 0.007 3.129 0.002
## Deprssn -0.016 0.003 -4.695 0.000
## Age_BL -0.506 0.028 -17.825 0.000
## Lngg_BL -0.125 0.041 -3.030 0.002
## MEM_DELTA ~
## Age_BL -0.538 0.032 -16.733 0.000
## Lng_FU1 0.018 0.045 0.393 0.694
## MEM_BL ~
## Mtrl_dp (c112) 0.006 0.042 0.135 0.893
## Scl_dpr (c122) -0.042 0.040 -1.048 0.295
## Physcl_ (b12b) 0.166 0.028 5.957 0.000
## MEM_DELTA ~
## Mtrl_dp (c212) -0.003 0.046 -0.072 0.942
## Scl_dpr (c222) -0.051 0.044 -1.153 0.249
## Physcl_ (b22b) 0.145 0.029 4.935 0.000
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 7.371 0.368 20.029 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 20.428 0.766 26.658 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.692 0.034 20.435 0.000
## .MEM_BL ~~
## .EF_DELTA 0.034 0.063 0.549 0.583
## .EF_BL ~~
## .MEM_DELTA 0.691 0.077 8.916 0.000
## .MEM_BL 1.407 0.072 19.427 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.424 0.060 7.067 0.000
## Multimorbidity ~~
## Education -0.465 0.059 -7.872 0.000
## Income -0.278 0.022 -12.450 0.000
## BMI 2.309 0.133 17.395 0.000
## Source.BL -0.013 0.011 -1.184 0.236
## White -0.008 0.004 -2.234 0.025
## Smoking 0.190 0.029 6.536 0.000
## Alcohol -0.835 0.058 -14.322 0.000
## Depression 2.161 0.112 19.348 0.000
## Age_BL 0.199 0.014 14.627 0.000
## Language_BL -0.004 0.009 -0.429 0.668
## Language_FU1 -0.001 0.009 -0.058 0.953
## Materil_dprvtn 0.049 0.010 5.010 0.000
## Social_deprvtn 0.063 0.010 6.566 0.000
## Physical_ctvty -0.284 0.015 -18.521 0.000
## Education ~~
## Income 0.848 0.027 30.989 0.000
## BMI -1.208 0.152 -7.942 0.000
## Source.BL -0.087 0.013 -6.635 0.000
## White -0.015 0.004 -3.490 0.000
## Smoking -0.327 0.034 -9.543 0.000
## Alcohol 1.215 0.069 17.556 0.000
## Depression -1.235 0.128 -9.658 0.000
## Age_BL -0.218 0.016 -13.635 0.000
## Language_BL -0.114 0.010 -10.975 0.000
## Language_FU1 -0.110 0.010 -10.549 0.000
## Materil_dprvtn -0.293 0.012 -24.523 0.000
## Social_deprvtn -0.070 0.011 -6.162 0.000
## Physical_ctvty 0.160 0.018 9.007 0.000
## Income ~~
## BMI -0.519 0.057 -9.086 0.000
## Source.BL -0.047 0.005 -9.573 0.000
## White 0.005 0.002 3.143 0.002
## Smoking -0.104 0.013 -8.120 0.000
## Alcohol 0.615 0.026 23.514 0.000
## Depression -0.645 0.048 -13.341 0.000
## Age_BL -0.076 0.006 -12.702 0.000
## Language_BL -0.052 0.004 -13.399 0.000
## Language_FU1 -0.051 0.004 -12.998 0.000
## Materil_dprvtn -0.114 0.004 -25.512 0.000
## Social_deprvtn -0.092 0.004 -21.035 0.000
## Physical_ctvty 0.072 0.007 10.834 0.000
## BMI ~~
## Source.BL -0.211 0.029 -7.352 0.000
## White 0.000 0.009 0.038 0.970
## Smoking -0.028 0.075 -0.374 0.709
## Alcohol -2.204 0.151 -14.633 0.000
## Depression 1.990 0.281 7.085 0.000
## Age_BL -0.402 0.035 -11.486 0.000
## Language_BL -0.027 0.023 -1.196 0.232
## Language_FU1 -0.025 0.023 -1.094 0.274
## Materil_dprvtn 0.216 0.025 8.492 0.000
## Social_deprvtn 0.060 0.025 2.420 0.016
## Physical_ctvty -0.510 0.039 -13.020 0.000
## Source.BL ~~
## White 0.002 0.001 2.467 0.014
## Smoking 0.012 0.006 1.938 0.053
## Alcohol -0.088 0.013 -6.848 0.000
## Depression 0.007 0.024 0.286 0.775
## Age_BL 0.018 0.003 5.953 0.000
## Language_BL -0.007 0.002 -3.443 0.001
## Language_FU1 -0.007 0.002 -3.522 0.000
## Materil_dprvtn 0.036 0.002 16.424 0.000
## Social_deprvtn -0.003 0.002 -1.535 0.125
## Physical_ctvty -0.014 0.003 -4.305 0.000
## White ~~
## Smoking 0.015 0.002 7.015 0.000
## Alcohol 0.035 0.004 8.036 0.000
## Depression -0.027 0.008 -3.374 0.001
## Age_BL 0.002 0.001 2.253 0.024
## Language_BL 0.001 0.001 1.905 0.057
## Language_FU1 0.001 0.001 2.320 0.020
## Materil_dprvtn -0.002 0.001 -2.154 0.031
## Social_deprvtn -0.000 0.001 -0.245 0.806
## Physical_ctvty 0.001 0.001 1.225 0.220
## Smoking ~~
## Alcohol 0.250 0.034 7.444 0.000
## Depression 0.380 0.063 6.042 0.000
## Age_BL -0.052 0.008 -6.619 0.000
## Language_BL 0.010 0.005 2.013 0.044
## Language_FU1 0.007 0.005 1.433 0.152
## Materil_dprvtn 0.031 0.006 5.391 0.000
## Social_deprvtn 0.042 0.006 7.534 0.000
## Physical_ctvty -0.024 0.009 -2.734 0.006
## Alcohol ~~
## Depression -0.916 0.125 -7.313 0.000
## Age_BL -0.077 0.016 -4.943 0.000
## Language_BL 0.024 0.010 2.363 0.018
## Language_FU1 0.025 0.010 2.488 0.013
## Materil_dprvtn -0.193 0.012 -16.791 0.000
## Social_deprvtn -0.072 0.011 -6.426 0.000
## Physical_ctvty 0.148 0.017 8.586 0.000
## Depression ~~
## Age_BL 0.117 0.029 4.029 0.000
## Language_BL 0.040 0.019 2.123 0.034
## Language_FU1 0.041 0.019 2.140 0.032
## Materil_dprvtn 0.106 0.021 4.971 0.000
## Social_deprvtn 0.116 0.021 5.532 0.000
## Physical_ctvty -0.411 0.033 -12.510 0.000
## Age_BL ~~
## Language_BL -0.005 0.002 -2.301 0.021
## Language_FU1 -0.006 0.002 -2.402 0.016
## Materil_dprvtn -0.005 0.003 -1.792 0.073
## Social_deprvtn 0.019 0.003 7.282 0.000
## Physical_ctvty -0.099 0.004 -23.733 0.000
## Language_BL ~~
## Language_FU1 0.141 0.002 66.067 0.000
## Materil_dprvtn 0.031 0.002 17.471 0.000
## Social_deprvtn 0.022 0.002 13.010 0.000
## Physical_ctvty -0.008 0.003 -2.899 0.004
## Language_FU1 ~~
## Materil_dprvtn 0.030 0.002 17.167 0.000
## Social_deprvtn 0.023 0.002 13.316 0.000
## Physical_ctvty -0.007 0.003 -2.590 0.010
## Material_deprivation ~~
## Social_deprvtn 0.006 0.002 3.339 0.001
## Physical_ctvty -0.015 0.003 -5.017 0.000
## Social_deprivation ~~
## Physical_ctvty -0.025 0.003 -8.555 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e2) 18.506 0.398 46.484 0.000
## .EF_FU1 0.000
## .MEM_BL (f2) 3.419 0.121 28.359 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l2) 3.373 0.545 6.188 0.000
## .MEM_DELTA (n2) 2.584 0.140 18.413 0.000
## Mltmrbdty 3.251 0.023 141.502 0.000
## Education -0.450 0.027 -16.644 0.000
## Income 0.459 0.010 45.384 0.000
## BMI 27.510 0.059 464.042 0.000
## Source.BL 1.367 0.005 268.371 0.000
## White 0.475 0.002 285.016 0.000
## Smoking 0.240 0.013 18.003 0.000
## Alcohol 0.211 0.027 7.957 0.000
## Depressin 0.824 0.050 16.567 0.000
## Age_BL 0.000 0.006 0.000 1.000
## Langug_BL 1.174 0.004 292.820 0.000
## Langg_FU1 1.174 0.004 291.523 0.000
## Mtrl_dprv 0.023 0.004 5.008 0.000
## Scl_dprvt 0.017 0.004 3.810 0.000
## Physcl_ct 0.061 0.007 8.794 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g2) 10.219 0.366 27.953 0.000
## .EF_FU1 0.000
## .MEM_BL (h2) 1.931 0.032 59.823 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i2) 18.201 0.356 51.187 0.000
## .V_F_C.FU1 (i2) 18.201 0.356 51.187 0.000
## .MAT_Sc.BL (j2) 45.308 0.719 62.987 0.000
## .MAT_S.FU1 (j2) 45.308 0.719 62.987 0.000
## .COG_REYII (k2) 2.607 0.031 83.595 0.000
## .COG_REYII (k2) 2.607 0.031 83.595 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m2) 0.682 0.291 2.344 0.019
## .MEM_DELTA (o2) 1.812 0.034 53.326 0.000
## Mltmrbdty 4.276 0.068 63.118 0.000
## Education 6.526 0.098 66.790 0.000
## Income 0.833 0.013 63.054 0.000
## BMI 31.286 0.469 66.675 0.000
## Source.BL 0.232 0.003 66.907 0.000
## White 0.025 0.000 66.907 0.000
## Smoking 1.577 0.024 66.668 0.000
## Alcohol 6.002 0.092 65.047 0.000
## Depressin 21.989 0.330 66.621 0.000
## Age_BL 0.342 0.005 66.907 0.000
## Langug_BL 0.144 0.002 66.907 0.000
## Langg_FU1 0.144 0.002 66.447 0.000
## Mtrl_dprv 0.172 0.003 64.840 0.000
## Scl_dprvt 0.167 0.003 64.871 0.000
## Physcl_ct 0.387 0.006 63.311 0.000
##
##
## Group 3 [45-64 F]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a3) 1.000
## MAT_Sc.BL (b3) 1.205 0.003 385.304 0.000
## EF_FU1 =~
## V_F_C.FU1 (a3) 1.000
## MAT_S.FU1 (b3) 1.205 0.003 385.304 0.000
## MEM_BL =~
## COG_REYII (c3) 1.000
## COG_REYI_ (d3) 1.291 0.003 492.389 0.000
## MEM_FU1 =~
## COG_REYII (c3) 1.000
## COG_REYI_ (d3) 1.291 0.003 492.389 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_DELTA ~
## EF_BL 0.712 0.019 37.867 0.000
## MEM_DELTA ~
## MEM_BL 0.459 0.010 46.568 0.000
## EF_DELTA ~
## Mltmrbd -0.037 0.024 -1.532 0.126
## Educatn 0.077 0.021 3.748 0.000
## Income 0.044 0.040 1.110 0.267
## BMI 0.009 0.006 1.514 0.130
## Sorc.BL -0.368 0.075 -4.889 0.000
## White 0.556 0.196 2.841 0.005
## Smoking 0.023 0.026 0.888 0.375
## Alcohol 0.019 0.018 1.052 0.293
## Deprssn -0.021 0.008 -2.765 0.006
## EF_BL ~
## Mltmrbd -0.105 0.030 -3.483 0.000
## Educatn 0.485 0.024 20.597 0.000
## Income 0.385 0.050 7.657 0.000
## BMI 0.009 0.008 1.167 0.243
## Sorc.BL 0.136 0.096 1.416 0.157
## White 3.885 0.219 17.711 0.000
## Smoking -0.137 0.032 -4.244 0.000
## Alcohol 0.079 0.023 3.493 0.000
## Deprssn -0.068 0.009 -7.227 0.000
## Age_BL -0.964 0.091 -10.624 0.000
## Lngg_BL -0.823 0.124 -6.656 0.000
## EF_DELTA ~
## Age_BL -0.545 0.073 -7.454 0.000
## Lng_FU1 0.061 0.097 0.632 0.527
## EF_BL ~
## Mtrl_dp (c111) -0.599 0.129 -4.659 0.000
## Scl_dpr (c121) 0.084 0.123 0.689 0.491
## Physcl_ (b11c) 0.193 0.060 3.213 0.001
## EF_DELTA ~
## Mtrl_dp (c211) -0.245 0.102 -2.406 0.016
## Scl_dpr (c221) -0.147 0.096 -1.534 0.125
## Physcl_ (b21c) 0.004 0.046 0.088 0.930
## MEM_DELTA ~
## Mltmrbd -0.025 0.010 -2.460 0.014
## Educatn 0.062 0.008 8.021 0.000
## Income 0.041 0.016 2.522 0.012
## BMI -0.005 0.003 -2.050 0.040
## Sorc.BL -0.451 0.031 -14.439 0.000
## White 0.261 0.075 3.465 0.001
## Smoking -0.016 0.011 -1.510 0.131
## Alcohol 0.010 0.007 1.336 0.181
## Deprssn -0.008 0.003 -2.719 0.007
## MEM_BL ~
## Mltmrbd -0.009 0.009 -0.981 0.326
## Educatn 0.108 0.007 14.840 0.000
## Income 0.077 0.016 4.942 0.000
## BMI -0.002 0.002 -0.773 0.440
## Sorc.BL 0.209 0.030 7.018 0.000
## White 0.278 0.068 4.110 0.000
## Smoking -0.014 0.010 -1.416 0.157
## Alcohol 0.029 0.007 4.158 0.000
## Deprssn -0.012 0.003 -4.213 0.000
## Age_BL -0.104 0.028 -3.703 0.000
## Lngg_BL -0.236 0.038 -6.212 0.000
## MEM_DELTA ~
## Age_BL -0.186 0.030 -6.303 0.000
## Lng_FU1 -0.039 0.040 -0.974 0.330
## MEM_BL ~
## Mtrl_dp (c112) -0.047 0.040 -1.183 0.237
## Scl_dpr (c122) -0.027 0.038 -0.718 0.473
## Physcl_ (b12c) 0.044 0.019 2.363 0.018
## MEM_DELTA ~
## Mtrl_dp (c212) -0.077 0.042 -1.819 0.069
## Scl_dpr (c222) 0.004 0.040 0.112 0.911
## Physcl_ (b22c) 0.042 0.019 2.208 0.027
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 11.223 0.373 30.071 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 21.157 0.627 33.759 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.559 0.026 21.217 0.000
## .MEM_BL ~~
## .EF_DELTA 0.235 0.058 4.083 0.000
## .EF_BL ~~
## .MEM_DELTA 0.985 0.073 13.447 0.000
## .MEM_BL 1.628 0.071 22.931 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.241 0.054 4.502 0.000
## Multimorbidity ~~
## Education -0.518 0.035 -14.844 0.000
## Income -0.419 0.019 -21.874 0.000
## BMI 2.996 0.106 28.268 0.000
## Source.BL -0.005 0.008 -0.649 0.516
## White 0.004 0.003 1.194 0.233
## Smoking 0.194 0.024 8.120 0.000
## Alcohol -0.593 0.036 -16.306 0.000
## Depression 2.185 0.086 25.487 0.000
## Age_BL 0.223 0.009 25.210 0.000
## Language_BL -0.014 0.006 -2.223 0.026
## Language_FU1 -0.014 0.006 -2.222 0.026
## Materil_dprvtn 0.072 0.007 11.098 0.000
## Social_deprvtn 0.070 0.007 10.544 0.000
## Physical_ctvty -0.231 0.014 -16.415 0.000
## Education ~~
## Income 0.825 0.024 34.539 0.000
## BMI -1.930 0.124 -15.555 0.000
## Source.BL -0.114 0.009 -12.121 0.000
## White -0.020 0.004 -4.844 0.000
## Smoking -0.747 0.030 -25.148 0.000
## Alcohol 0.785 0.044 17.806 0.000
## Depression -1.304 0.101 -12.937 0.000
## Age_BL -0.104 0.010 -9.924 0.000
## Language_BL -0.046 0.007 -6.180 0.000
## Language_FU1 -0.045 0.007 -6.103 0.000
## Materil_dprvtn -0.229 0.008 -28.233 0.000
## Social_deprvtn -0.076 0.008 -9.467 0.000
## Physical_ctvty 0.161 0.017 9.466 0.000
## Income ~~
## BMI -1.101 0.068 -16.291 0.000
## Source.BL -0.043 0.005 -8.414 0.000
## White 0.010 0.002 4.436 0.000
## Smoking -0.293 0.016 -18.418 0.000
## Alcohol 0.648 0.024 26.641 0.000
## Depression -1.416 0.056 -25.251 0.000
## Age_BL -0.137 0.006 -23.605 0.000
## Language_BL -0.060 0.004 -14.900 0.000
## Language_FU1 -0.060 0.004 -14.701 0.000
## Materil_dprvtn -0.144 0.004 -32.412 0.000
## Social_deprvtn -0.148 0.005 -32.544 0.000
## Physical_ctvty 0.131 0.009 14.181 0.000
## BMI ~~
## Source.BL -0.096 0.028 -3.468 0.001
## White 0.043 0.012 3.554 0.000
## Smoking 0.201 0.085 2.359 0.018
## Alcohol -3.020 0.131 -23.134 0.000
## Depression 3.862 0.297 12.997 0.000
## Age_BL 0.258 0.031 8.364 0.000
## Language_BL -0.113 0.022 -5.196 0.000
## Language_FU1 -0.115 0.022 -5.256 0.000
## Materil_dprvtn 0.339 0.023 14.513 0.000
## Social_deprvtn 0.216 0.024 9.134 0.000
## Physical_ctvty -0.874 0.050 -17.466 0.000
## Source.BL ~~
## White 0.003 0.001 2.809 0.005
## Smoking 0.033 0.006 5.013 0.000
## Alcohol -0.084 0.010 -8.568 0.000
## Depression 0.020 0.022 0.889 0.374
## Age_BL -0.006 0.002 -2.461 0.014
## Language_BL -0.005 0.002 -3.238 0.001
## Language_FU1 -0.005 0.002 -2.793 0.005
## Materil_dprvtn 0.030 0.002 17.002 0.000
## Social_deprvtn -0.000 0.002 -0.179 0.858
## Physical_ctvty -0.004 0.004 -1.078 0.281
## White ~~
## Smoking 0.032 0.003 11.416 0.000
## Alcohol 0.058 0.004 13.048 0.000
## Depression -0.038 0.010 -3.837 0.000
## Age_BL 0.005 0.001 5.303 0.000
## Language_BL 0.003 0.001 4.025 0.000
## Language_FU1 0.003 0.001 4.494 0.000
## Materil_dprvtn -0.003 0.001 -4.002 0.000
## Social_deprvtn 0.002 0.001 2.631 0.009
## Physical_ctvty -0.000 0.002 -0.277 0.782
## Smoking ~~
## Alcohol 0.093 0.030 3.076 0.002
## Depression 0.941 0.070 13.472 0.000
## Age_BL -0.010 0.007 -1.316 0.188
## Language_BL 0.054 0.005 10.390 0.000
## Language_FU1 0.056 0.005 10.811 0.000
## Materil_dprvtn 0.078 0.005 14.307 0.000
## Social_deprvtn 0.084 0.006 15.102 0.000
## Physical_ctvty -0.063 0.012 -5.344 0.000
## Alcohol ~~
## Depression -1.460 0.105 -13.879 0.000
## Age_BL 0.006 0.011 0.556 0.578
## Language_BL 0.064 0.008 8.290 0.000
## Language_FU1 0.067 0.008 8.751 0.000
## Materil_dprvtn -0.152 0.008 -18.350 0.000
## Social_deprvtn -0.067 0.008 -8.037 0.000
## Physical_ctvty 0.137 0.018 7.794 0.000
## Depression ~~
## Age_BL -0.039 0.025 -1.554 0.120
## Language_BL 0.044 0.018 2.464 0.014
## Language_FU1 0.042 0.018 2.335 0.020
## Materil_dprvtn 0.228 0.019 12.018 0.000
## Social_deprvtn 0.218 0.019 11.295 0.000
## Physical_ctvty -0.520 0.041 -12.692 0.000
## Age_BL ~~
## Language_BL -0.000 0.002 -0.088 0.930
## Language_FU1 -0.000 0.002 -0.269 0.788
## Materil_dprvtn -0.001 0.002 -0.437 0.662
## Social_deprvtn 0.011 0.002 5.516 0.000
## Physical_ctvty -0.077 0.004 -18.121 0.000
## Language_BL ~~
## Language_FU1 0.142 0.002 77.176 0.000
## Materil_dprvtn 0.026 0.001 18.345 0.000
## Social_deprvtn 0.023 0.001 15.882 0.000
## Physical_ctvty -0.013 0.003 -4.231 0.000
## Language_FU1 ~~
## Materil_dprvtn 0.026 0.001 18.155 0.000
## Social_deprvtn 0.023 0.001 15.821 0.000
## Physical_ctvty -0.013 0.003 -4.343 0.000
## Material_deprivation ~~
## Social_deprvtn 0.016 0.001 10.897 0.000
## Physical_ctvty -0.016 0.003 -5.000 0.000
## Social_deprivation ~~
## Physical_ctvty -0.023 0.003 -7.171 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e3) 21.640 0.321 67.418 0.000
## .EF_FU1 0.000
## .MEM_BL (f3) 5.122 0.099 51.649 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l3) 6.220 0.478 13.004 0.000
## .MEM_DELTA (n3) 4.109 0.117 35.268 0.000
## Mltmrbdty 1.935 0.016 120.764 0.000
## Education 0.403 0.019 20.729 0.000
## Income 0.289 0.011 27.435 0.000
## BMI 27.762 0.057 485.554 0.000
## Source.BL 1.366 0.004 313.651 0.000
## White 0.454 0.002 239.407 0.000
## Smoking 0.446 0.013 33.101 0.000
## Alcohol -0.610 0.020 -30.211 0.000
## Depressin 0.882 0.047 18.944 0.000
## Age_BL 0.000 0.005 0.000 1.000
## Langug_BL 1.177 0.003 341.263 0.000
## Langg_FU1 1.176 0.003 340.631 0.000
## Mtrl_dprv 0.033 0.004 9.108 0.000
## Scl_dprvt 0.026 0.004 6.896 0.000
## Physcl_ct 0.082 0.008 10.442 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g3) 10.968 0.349 31.459 0.000
## .EF_FU1 0.000
## .MEM_BL (h3) 2.293 0.031 72.872 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i3) 24.129 0.364 66.309 0.000
## .V_F_C.FU1 (i3) 24.129 0.364 66.309 0.000
## .MAT_Sc.BL (j3) 42.692 0.598 71.403 0.000
## .MAT_S.FU1 (j3) 42.692 0.598 71.403 0.000
## .COG_REYII (k3) 2.446 0.024 100.723 0.000
## .COG_REYII (k3) 2.446 0.024 100.723 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m3) 0.960 0.233 4.117 0.000
## .MEM_DELTA (o3) 2.116 0.032 66.986 0.000
## Mltmrbdty 2.979 0.039 75.495 0.000
## Education 4.613 0.059 78.140 0.000
## Income 1.307 0.017 76.124 0.000
## BMI 39.769 0.511 77.878 0.000
## Source.BL 0.232 0.003 78.211 0.000
## White 0.044 0.001 78.211 0.000
## Smoking 2.208 0.028 78.038 0.000
## Alcohol 4.868 0.063 76.912 0.000
## Depressin 26.466 0.339 78.113 0.000
## Age_BL 0.290 0.004 78.211 0.000
## Langug_BL 0.145 0.002 78.211 0.000
## Langg_FU1 0.145 0.002 77.836 0.000
## Mtrl_dprv 0.158 0.002 76.681 0.000
## Scl_dprvt 0.163 0.002 76.680 0.000
## Physcl_ct 0.683 0.009 74.691 0.000
##
##
## Group 4 [65+ M]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a4) 1.000
## MAT_Sc.BL (b4) 1.278 0.005 273.607 0.000
## EF_FU1 =~
## V_F_C.FU1 (a4) 1.000
## MAT_S.FU1 (b4) 1.278 0.005 273.607 0.000
## MEM_BL =~
## COG_REYII (c4) 1.000
## COG_REYI_ (d4) 1.599 0.007 244.708 0.000
## MEM_FU1 =~
## COG_REYII (c4) 1.000
## COG_REYI_ (d4) 1.599 0.007 244.708 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_DELTA ~
## EF_BL 0.834 0.025 33.262 0.000
## MEM_DELTA ~
## MEM_BL 0.424 0.012 34.970 0.000
## EF_DELTA ~
## Mltmrbd -0.052 0.026 -2.014 0.044
## Educatn 0.035 0.023 1.552 0.121
## Income -0.016 0.055 -0.281 0.779
## BMI 0.032 0.011 2.827 0.005
## Sorc.BL -0.486 0.097 -4.989 0.000
## White -0.065 0.238 -0.275 0.783
## Smoking -0.011 0.041 -0.256 0.798
## Alcohol 0.020 0.020 1.040 0.298
## Deprssn -0.001 0.012 -0.123 0.902
## EF_BL ~
## Mltmrbd 0.002 0.029 0.085 0.933
## Educatn 0.478 0.022 21.515 0.000
## Income 0.543 0.064 8.466 0.000
## BMI -0.009 0.013 -0.701 0.483
## Sorc.BL -0.096 0.113 -0.853 0.394
## White 2.315 0.261 8.878 0.000
## Smoking -0.089 0.047 -1.900 0.057
## Alcohol 0.170 0.022 7.719 0.000
## Deprssn -0.065 0.013 -4.867 0.000
## Age_BL -2.198 0.097 -22.610 0.000
## Lngg_BL -1.488 0.146 -10.216 0.000
## EF_DELTA ~
## Age_BL -0.554 0.100 -5.526 0.000
## Lng_FU1 0.039 0.131 0.300 0.764
## EF_BL ~
## Mtrl_dp (c111) -0.366 0.146 -2.506 0.012
## Scl_dpr (c121) 0.145 0.132 1.094 0.274
## Physcl_ (b11d) 0.240 0.084 2.842 0.004
## EF_DELTA ~
## Mtrl_dp (c211) 0.041 0.129 0.321 0.749
## Scl_dpr (c221) 0.020 0.115 0.169 0.866
## Physcl_ (b21d) 0.246 0.070 3.488 0.000
## MEM_DELTA ~
## Mltmrbd -0.003 0.008 -0.420 0.674
## Educatn 0.034 0.006 5.893 0.000
## Income 0.079 0.016 4.918 0.000
## BMI 0.006 0.003 1.755 0.079
## Sorc.BL -0.250 0.029 -8.689 0.000
## White 0.049 0.068 0.718 0.473
## Smoking -0.022 0.012 -1.822 0.068
## Alcohol 0.017 0.006 2.998 0.003
## Deprssn -0.003 0.003 -0.817 0.414
## MEM_BL ~
## Mltmrbd -0.001 0.007 -0.098 0.922
## Educatn 0.062 0.005 11.984 0.000
## Income 0.099 0.015 6.607 0.000
## BMI 0.003 0.003 0.881 0.378
## Sorc.BL 0.108 0.026 4.129 0.000
## White 0.259 0.061 4.248 0.000
## Smoking -0.026 0.011 -2.378 0.017
## Alcohol 0.029 0.005 5.620 0.000
## Deprssn -0.016 0.003 -5.128 0.000
## Age_BL -0.513 0.023 -22.496 0.000
## Lngg_BL -0.153 0.034 -4.509 0.000
## MEM_DELTA ~
## Age_BL -0.399 0.026 -15.501 0.000
## Lng_FU1 0.057 0.037 1.517 0.129
## MEM_BL ~
## Mtrl_dp (c122) -0.018 0.024 -0.780 0.436
## Scl_dpr (c122) -0.018 0.024 -0.780 0.436
## Physcl_ (b12d) 0.079 0.020 4.026 0.000
## MEM_DELTA ~
## Mtrl_dp (c212) 0.008 0.038 0.218 0.827
## Scl_dpr (c222) 0.038 0.034 1.120 0.263
## Physcl_ (b22d) 0.095 0.021 4.557 0.000
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 9.422 0.420 22.419 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 27.289 0.868 31.422 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.605 0.029 21.026 0.000
## .MEM_BL ~~
## .EF_DELTA 0.122 0.054 2.258 0.024
## .EF_BL ~~
## .MEM_DELTA 0.646 0.062 10.347 0.000
## .MEM_BL 1.397 0.060 23.150 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.329 0.050 6.601 0.000
## Multimorbidity ~~
## Education -0.522 0.060 -8.737 0.000
## Income -0.187 0.022 -8.395 0.000
## BMI 1.577 0.098 16.170 0.000
## Source.BL 0.028 0.011 2.669 0.008
## White 0.003 0.005 0.665 0.506
## Smoking 0.207 0.026 7.991 0.000
## Alcohol -0.471 0.056 -8.378 0.000
## Depression 1.674 0.094 17.815 0.000
## Age_BL 0.196 0.013 15.078 0.000
## Language_BL -0.003 0.008 -0.313 0.754
## Language_FU1 -0.002 0.008 -0.270 0.788
## Materil_dprvtn 0.046 0.009 5.096 0.000
## Social_deprvtn 0.044 0.009 4.735 0.000
## Physical_ctvty -0.277 0.017 -16.637 0.000
## Education ~~
## Income 0.938 0.030 31.644 0.000
## BMI -1.234 0.121 -10.176 0.000
## Source.BL -0.150 0.014 -11.047 0.000
## White -0.029 0.006 -5.126 0.000
## Smoking -0.560 0.033 -16.957 0.000
## Alcohol 1.062 0.071 14.850 0.000
## Depression -0.944 0.115 -8.207 0.000
## Age_BL -0.155 0.016 -9.565 0.000
## Language_BL -0.062 0.010 -5.980 0.000
## Language_FU1 -0.061 0.010 -5.926 0.000
## Materil_dprvtn -0.296 0.012 -24.944 0.000
## Social_deprvtn -0.090 0.012 -7.533 0.000
## Physical_ctvty 0.128 0.021 6.158 0.000
## Income ~~
## BMI -0.090 0.045 -1.993 0.046
## Source.BL -0.053 0.005 -10.495 0.000
## White 0.011 0.002 5.006 0.000
## Smoking -0.130 0.012 -10.627 0.000
## Alcohol 0.484 0.027 18.025 0.000
## Depression -0.642 0.043 -14.782 0.000
## Age_BL -0.052 0.006 -8.596 0.000
## Language_BL -0.048 0.004 -12.384 0.000
## Language_FU1 -0.048 0.004 -12.355 0.000
## Materil_dprvtn -0.125 0.004 -27.832 0.000
## Social_deprvtn -0.089 0.005 -19.677 0.000
## Physical_ctvty 0.086 0.008 11.157 0.000
## BMI ~~
## Source.BL -0.221 0.022 -10.084 0.000
## White 0.063 0.009 6.837 0.000
## Smoking 0.217 0.053 4.118 0.000
## Alcohol -0.756 0.114 -6.609 0.000
## Depression 0.527 0.185 2.841 0.004
## Age_BL -0.345 0.026 -13.062 0.000
## Language_BL 0.011 0.017 0.668 0.504
## Language_FU1 0.007 0.017 0.438 0.661
## Materil_dprvtn 0.100 0.019 5.379 0.000
## Social_deprvtn 0.038 0.019 1.986 0.047
## Physical_ctvty -0.281 0.034 -8.382 0.000
## Source.BL ~~
## White 0.001 0.001 0.609 0.542
## Smoking 0.024 0.006 4.095 0.000
## Alcohol -0.074 0.013 -5.837 0.000
## Depression 0.073 0.021 3.515 0.000
## Age_BL 0.017 0.003 5.713 0.000
## Language_BL -0.003 0.002 -1.390 0.165
## Language_FU1 -0.002 0.002 -0.816 0.415
## Materil_dprvtn 0.041 0.002 19.407 0.000
## Social_deprvtn 0.000 0.002 0.025 0.980
## Physical_ctvty -0.014 0.004 -3.766 0.000
## White ~~
## Smoking 0.013 0.002 5.249 0.000
## Alcohol 0.048 0.006 8.590 0.000
## Depression -0.017 0.009 -1.903 0.057
## Age_BL 0.002 0.001 1.882 0.060
## Language_BL 0.005 0.001 6.069 0.000
## Language_FU1 0.005 0.001 6.160 0.000
## Materil_dprvtn -0.003 0.001 -2.889 0.004
## Social_deprvtn 0.003 0.001 3.151 0.002
## Physical_ctvty 0.002 0.002 1.063 0.288
## Smoking ~~
## Alcohol 0.097 0.031 3.160 0.002
## Depression 0.353 0.050 7.058 0.000
## Age_BL -0.032 0.007 -4.555 0.000
## Language_BL 0.029 0.004 6.552 0.000
## Language_FU1 0.030 0.005 6.649 0.000
## Materil_dprvtn 0.049 0.005 9.884 0.000
## Social_deprvtn 0.050 0.005 9.738 0.000
## Physical_ctvty -0.066 0.009 -7.351 0.000
## Alcohol ~~
## Depression -0.602 0.108 -5.550 0.000
## Age_BL -0.047 0.015 -3.101 0.002
## Language_BL 0.033 0.010 3.420 0.001
## Language_FU1 0.034 0.010 3.504 0.000
## Materil_dprvtn -0.151 0.011 -13.848 0.000
## Social_deprvtn -0.066 0.011 -5.904 0.000
## Physical_ctvty 0.138 0.019 7.092 0.000
## Depression ~~
## Age_BL 0.102 0.025 4.091 0.000
## Language_BL 0.024 0.016 1.516 0.130
## Language_FU1 0.029 0.016 1.807 0.071
## Materil_dprvtn 0.097 0.018 5.542 0.000
## Social_deprvtn 0.134 0.018 7.361 0.000
## Physical_ctvty -0.341 0.032 -10.634 0.000
## Age_BL ~~
## Language_BL -0.003 0.002 -1.395 0.163
## Language_FU1 -0.003 0.002 -1.209 0.227
## Materil_dprvtn -0.004 0.002 -1.789 0.074
## Social_deprvtn 0.012 0.003 4.595 0.000
## Physical_ctvty -0.100 0.005 -21.820 0.000
## Language_BL ~~
## Language_FU1 0.130 0.002 65.548 0.000
## Materil_dprvtn 0.024 0.002 15.004 0.000
## Social_deprvtn 0.023 0.002 13.736 0.000
## Physical_ctvty -0.003 0.003 -1.111 0.266
## Language_FU1 ~~
## Materil_dprvtn 0.024 0.002 14.699 0.000
## Social_deprvtn 0.022 0.002 13.351 0.000
## Physical_ctvty -0.003 0.003 -1.098 0.272
## Material_deprivation ~~
## Social_deprvtn 0.011 0.002 5.929 0.000
## Physical_ctvty -0.008 0.003 -2.644 0.008
## Social_deprivation ~~
## Physical_ctvty -0.030 0.003 -9.154 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e4) 20.855 0.446 46.730 0.000
## .EF_FU1 0.000
## .MEM_BL (f4) 2.905 0.104 27.813 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l4) 2.408 0.650 3.704 0.000
## .MEM_DELTA (n4) 1.912 0.120 15.944 0.000
## Mltmrbdty 2.893 0.022 129.444 0.000
## Education -0.829 0.028 -29.455 0.000
## Income -0.075 0.011 -7.099 0.000
## BMI 27.627 0.046 606.252 0.000
## Source.BL 1.354 0.005 266.289 0.000
## White 0.457 0.002 211.979 0.000
## Smoking -0.471 0.012 -38.384 0.000
## Alcohol -0.865 0.027 -32.519 0.000
## Depressin 0.580 0.043 13.402 0.000
## Age_BL 0.000 0.006 0.000 1.000
## Langug_BL 1.159 0.004 298.102 0.000
## Langg_FU1 1.158 0.004 297.371 0.000
## Mtrl_dprv 0.027 0.004 6.326 0.000
## Scl_dprvt 0.039 0.004 8.680 0.000
## Physcl_ct 0.031 0.008 3.993 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g4) 9.991 0.392 25.506 0.000
## .EF_FU1 0.000
## .MEM_BL (h4) 1.226 0.021 57.104 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i4) 21.571 0.407 52.987 0.000
## .V_F_C.FU1 (i4) 21.571 0.407 52.987 0.000
## .MAT_Sc.BL (j4) 49.838 0.830 60.079 0.000
## .MAT_S.FU1 (j4) 49.838 0.830 60.079 0.000
## .COG_REYII (k4) 2.213 0.027 82.900 0.000
## .COG_REYII (k4) 2.213 0.027 82.900 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m4) 1.265 0.307 4.123 0.000
## .MEM_DELTA (o4) 1.122 0.022 51.492 0.000
## Mltmrbdty 4.030 0.064 63.142 0.000
## Education 6.983 0.105 66.354 0.000
## Income 0.934 0.014 64.425 0.000
## BMI 18.305 0.276 66.369 0.000
## Source.BL 0.229 0.003 66.502 0.000
## White 0.041 0.001 66.502 0.000
## Smoking 1.320 0.020 66.250 0.000
## Alcohol 6.119 0.093 65.645 0.000
## Depressin 16.421 0.248 66.249 0.000
## Age_BL 0.330 0.005 66.502 0.000
## Langug_BL 0.134 0.002 66.502 0.000
## Langg_FU1 0.133 0.002 65.880 0.000
## Mtrl_dprv 0.158 0.002 64.875 0.000
## Scl_dprvt 0.168 0.003 64.916 0.000
## Physcl_ct 0.480 0.008 62.969 0.000
fitMeasures(mdl4_multi_fit, c("cfi","tli","rmsea","rmsea.ci.lower","rmsea.ci.upper"))
## cfi tli rmsea rmsea.ci.lower rmsea.ci.upper
## 0.950 0.914 0.042 0.041 0.043
parameterEstimates(mdl4_multi_fit,standardized=TRUE,output="text",fmi=TRUE,remove.nonfree=TRUE)
##
##
## Group 1 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b1) 1.237 0.003 365.420 0.000 1.231 1.244
## EF_FU1 =~
## MAT_S.FU1 (b1) 1.237 0.003 365.420 0.000 1.231 1.244
## MEM_BL =~
## COG_REYI_ (d1) 1.402 0.003 402.394 0.000 1.395 1.409
## MEM_FU1 =~
## COG_REYI_ (d1) 1.402 0.003 402.394 0.000 1.395 1.409
## Std.lv Std.all FMI
##
## 5.184 0.596 0.065
##
## 4.400 0.533 0.065
##
## 1.871 1.000 0.094
##
## 2.019 1.000 0.094
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL 0.770 0.018 43.462 0.000 0.735 0.805
## MEM_DELTA ~
## MEM_BL 0.428 0.010 42.513 0.000 0.409 0.448
## EF_DELTA ~
## Mltmrbd -0.040 0.027 -1.468 0.142 -0.094 0.014
## Educatn 0.063 0.021 2.958 0.003 0.021 0.105
## Income 0.024 0.042 0.574 0.566 -0.058 0.107
## BMI -0.002 0.008 -0.257 0.797 -0.018 0.014
## Sorc.BL -0.524 0.080 -6.512 0.000 -0.682 -0.366
## White 0.537 0.185 2.895 0.004 0.173 0.900
## Smoking -0.005 0.029 -0.179 0.858 -0.061 0.051
## Alcohol 0.047 0.018 2.556 0.011 0.011 0.083
## Deprssn -0.004 0.009 -0.456 0.648 -0.022 0.013
## EF_BL ~
## Mltmrbd -0.001 0.035 -0.041 0.967 -0.070 0.067
## Educatn 0.508 0.025 20.251 0.000 0.459 0.557
## Income 0.487 0.054 8.989 0.000 0.381 0.593
## BMI 0.002 0.011 0.165 0.869 -0.019 0.022
## Sorc.BL 0.020 0.105 0.190 0.849 -0.185 0.225
## White 4.092 0.215 19.013 0.000 3.671 4.514
## Smoking -0.088 0.036 -2.427 0.015 -0.159 -0.017
## Alcohol 0.122 0.024 5.160 0.000 0.076 0.169
## Deprssn -0.071 0.011 -6.184 0.000 -0.093 -0.048
## Age_BL -1.293 0.096 -13.442 0.000 -1.481 -1.104
## Lngg_BL -1.102 0.133 -8.257 0.000 -1.363 -0.840
## EF_DELTA ~
## Age_BL -0.407 0.077 -5.278 0.000 -0.558 -0.256
## Lng_FU1 0.031 0.102 0.299 0.765 -0.170 0.231
## EF_BL ~
## Mtrl_dp (c111) -0.607 0.141 -4.312 0.000 -0.883 -0.331
## Scl_dpr (c121) 0.040 0.130 0.307 0.759 -0.214 0.294
## Physcl_ (b11a) 0.102 0.060 1.684 0.092 -0.017 0.220
## EF_DELTA ~
## Mtrl_dp (c211) 0.008 0.109 0.072 0.943 -0.206 0.222
## Scl_dpr (c221) 0.127 0.099 1.277 0.202 -0.068 0.322
## Physcl_ (b21a) 0.046 0.045 1.023 0.306 -0.042 0.134
## MEM_DELTA ~
## Mltmrbd -0.013 0.009 -1.430 0.153 -0.031 0.005
## Educatn 0.068 0.007 10.208 0.000 0.055 0.081
## Income 0.030 0.014 2.127 0.033 0.002 0.057
## BMI -0.003 0.003 -0.913 0.361 -0.008 0.003
## Sorc.BL -0.407 0.027 -14.936 0.000 -0.460 -0.353
## White 0.335 0.058 5.744 0.000 0.220 0.449
## Smoking -0.036 0.010 -3.667 0.000 -0.055 -0.017
## Alcohol 0.014 0.006 2.225 0.026 0.002 0.026
## Deprssn -0.013 0.003 -4.211 0.000 -0.019 -0.007
## MEM_BL ~
## Mltmrbd -0.017 0.009 -1.930 0.054 -0.034 0.000
## Educatn 0.088 0.006 14.149 0.000 0.076 0.100
## Income 0.070 0.013 5.192 0.000 0.043 0.096
## BMI -0.004 0.003 -1.457 0.145 -0.009 0.001
## Sorc.BL 0.004 0.026 0.157 0.875 -0.047 0.055
## White 0.386 0.053 7.213 0.000 0.281 0.490
## Smoking -0.015 0.009 -1.705 0.088 -0.033 0.002
## Alcohol 0.003 0.006 0.433 0.665 -0.009 0.014
## Deprssn -0.019 0.003 -6.618 0.000 -0.024 -0.013
## Age_BL -0.267 0.024 -11.186 0.000 -0.314 -0.220
## Lngg_BL -0.232 0.033 -7.054 0.000 -0.296 -0.167
## MEM_DELTA ~
## Age_BL -0.270 0.025 -10.761 0.000 -0.320 -0.221
## Lng_FU1 -0.066 0.034 -1.935 0.053 -0.133 0.001
## MEM_BL ~
## Mtrl_dp (c112) -0.190 0.035 -5.445 0.000 -0.259 -0.122
## Scl_dpr (c122) 0.013 0.032 0.408 0.683 -0.050 0.076
## Physcl_ (b12a) 0.022 0.015 1.465 0.143 -0.007 0.051
## MEM_DELTA ~
## Mtrl_dp (c212) -0.110 0.037 -2.987 0.003 -0.182 -0.038
## Scl_dpr (c222) -0.000 0.034 -0.008 0.994 -0.066 0.066
## Physcl_ (b22a) 0.041 0.015 2.717 0.007 0.012 0.071
## Std.lv Std.all FMI
##
## 0.907 0.907 0.233
##
## 0.397 0.397 0.218
##
## -0.011 -0.018 0.294
## 0.018 0.039 0.239
## 0.007 0.008 0.245
## -0.001 -0.003 0.225
## -0.147 -0.071 0.229
## 0.151 0.035 0.274
## -0.001 -0.002 0.276
## 0.013 0.029 0.242
## -0.001 -0.005 0.249
##
## -0.000 -0.001 0.084
## 0.121 0.267 0.036
## 0.116 0.131 0.072
## 0.000 0.002 0.035
## 0.005 0.002 0.033
## 0.977 0.229 0.041
## -0.021 -0.030 0.036
## 0.029 0.065 0.049
## -0.017 -0.077 0.036
## -0.309 -0.168 0.033
## -0.263 -0.100 0.029
##
## -0.114 -0.062 0.224
## 0.009 0.003 0.207
##
## -0.145 -0.057 0.073
## 0.009 0.004 0.072
## 0.024 0.021 0.118
##
## 0.002 0.001 0.269
## 0.036 0.015 0.259
## 0.013 0.011 0.254
##
## -0.009 -0.015 0.260
## 0.047 0.104 0.217
## 0.021 0.023 0.228
## -0.002 -0.009 0.206
## -0.282 -0.136 0.199
## 0.232 0.054 0.264
## -0.025 -0.036 0.253
## 0.010 0.021 0.216
## -0.009 -0.040 0.223
##
## -0.013 -0.020 0.092
## 0.066 0.145 0.044
## 0.052 0.059 0.080
## -0.003 -0.014 0.041
## 0.003 0.001 0.045
## 0.289 0.068 0.053
## -0.011 -0.017 0.043
## 0.002 0.004 0.060
## -0.014 -0.064 0.039
## -0.200 -0.109 0.043
## -0.174 -0.066 0.028
##
## -0.188 -0.102 0.200
## -0.046 -0.017 0.179
##
## -0.142 -0.056 0.082
## 0.010 0.004 0.080
## 0.016 0.015 0.134
##
## -0.076 -0.030 0.242
## -0.000 -0.000 0.232
## 0.029 0.025 0.229
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 11.642 0.411 28.356 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 26.367 0.735 35.870 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.600 0.024 25.357 0.000
## .MEM_BL ~~
## .EF_DELTA 0.143 0.050 2.828 0.005
## .EF_BL ~~
## .MEM_DELTA 0.783 0.065 12.044 0.000
## .MEM_BL 1.494 0.065 23.021 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.336 0.047 7.115 0.000
## Multimorbidity ~~
## Education -0.488 0.034 -14.556 0.000
## Income -0.317 0.018 -18.053 0.000
## BMI 1.930 0.077 25.201 0.000
## Source.BL 0.004 0.007 0.565 0.572
## White 0.004 0.004 1.057 0.291
## Smoking 0.311 0.022 14.072 0.000
## Alcohol -0.440 0.034 -12.894 0.000
## Depression 1.584 0.071 22.271 0.000
## Age_BL 0.203 0.008 24.097 0.000
## Language_BL -0.013 0.006 -2.231 0.026
## Language_FU1 -0.013 0.006 -2.226 0.026
## Materil_dprvtn 0.054 0.006 8.928 0.000
## Social_deprvtn 0.041 0.006 6.529 0.000
## Physical_ctvty -0.206 0.014 -14.612 0.000
## Education ~~
## Income 0.856 0.025 34.583 0.000
## BMI -1.243 0.101 -12.246 0.000
## Source.BL -0.138 0.010 -13.869 0.000
## White -0.024 0.005 -4.948 0.000
## Smoking -0.858 0.031 -27.821 0.000
## Alcohol 0.593 0.046 12.818 0.000
## Depression -1.410 0.095 -14.845 0.000
## Age_BL -0.047 0.011 -4.245 0.000
## Language_BL -0.032 0.008 -4.125 0.000
## Language_FU1 -0.031 0.008 -3.913 0.000
## Materil_dprvtn -0.237 0.008 -27.995 0.000
## Social_deprvtn -0.088 0.009 -10.259 0.000
## Physical_ctvty -0.052 0.019 -2.687 0.007
## Income ~~
## BMI -0.113 0.052 -2.164 0.030
## Source.BL -0.050 0.005 -9.675 0.000
## White 0.020 0.003 7.821 0.000
## Smoking -0.357 0.016 -22.571 0.000
## Alcohol 0.567 0.024 23.239 0.000
## Depression -1.239 0.050 -24.661 0.000
## Age_BL -0.102 0.006 -17.462 0.000
## Language_BL -0.056 0.004 -13.722 0.000
## Language_FU1 -0.054 0.004 -13.277 0.000
## Materil_dprvtn -0.136 0.004 -30.690 0.000
## Social_deprvtn -0.139 0.005 -29.967 0.000
## Physical_ctvty 0.157 0.010 15.703 0.000
## BMI ~~
## Source.BL -0.102 0.022 -4.660 0.000
## White 0.069 0.011 6.448 0.000
## Smoking -0.060 0.066 -0.909 0.363
## Alcohol -1.339 0.103 -12.979 0.000
## Depression 1.487 0.210 7.071 0.000
## Age_BL 0.100 0.025 3.994 0.000
## Language_BL -0.078 0.017 -4.499 0.000
## Language_FU1 -0.078 0.017 -4.466 0.000
## Materil_dprvtn 0.145 0.018 7.920 0.000
## Social_deprvtn -0.028 0.019 -1.483 0.138
## Physical_ctvty -0.333 0.043 -7.800 0.000
## Source.BL ~~
## White 0.001 0.001 1.024 0.306
## Smoking 0.037 0.006 5.690 0.000
## Alcohol -0.055 0.010 -5.499 0.000
## Depression 0.052 0.020 2.547 0.011
## Age_BL -0.007 0.002 -2.682 0.007
## Language_BL -0.003 0.002 -1.524 0.127
## Language_FU1 -0.003 0.002 -1.627 0.104
## Materil_dprvtn 0.036 0.002 20.024 0.000
## Social_deprvtn 0.002 0.002 1.108 0.268
## Physical_ctvty 0.011 0.004 2.754 0.006
## White ~~
## Smoking 0.010 0.003 3.215 0.001
## Alcohol 0.080 0.005 15.651 0.000
## Depression -0.023 0.010 -2.295 0.022
## Age_BL 0.009 0.001 7.860 0.000
## Language_BL 0.001 0.001 1.584 0.113
## Language_FU1 0.002 0.001 1.943 0.052
## Materil_dprvtn -0.006 0.001 -6.654 0.000
## Social_deprvtn 0.002 0.001 2.349 0.019
## Physical_ctvty 0.006 0.002 3.046 0.002
## Smoking ~~
## Alcohol 0.088 0.030 2.900 0.004
## Depression 0.843 0.062 13.504 0.000
## Age_BL 0.062 0.007 8.355 0.000
## Language_BL 0.051 0.005 9.997 0.000
## Language_FU1 0.051 0.005 9.907 0.000
## Materil_dprvtn 0.091 0.005 16.721 0.000
## Social_deprvtn 0.081 0.006 14.129 0.000
## Physical_ctvty -0.058 0.013 -4.523 0.000
## Alcohol ~~
## Depression -1.256 0.096 -13.054 0.000
## Age_BL 0.056 0.011 4.927 0.000
## Language_BL 0.046 0.008 5.826 0.000
## Language_FU1 0.049 0.008 6.188 0.000
## Materil_dprvtn -0.126 0.008 -15.029 0.000
## Social_deprvtn -0.058 0.009 -6.667 0.000
## Physical_ctvty 0.127 0.019 6.557 0.000
## Depression ~~
## Age_BL -0.073 0.023 -3.138 0.002
## Language_BL -0.043 0.016 -2.679 0.007
## Language_FU1 -0.046 0.016 -2.847 0.004
## Materil_dprvtn 0.148 0.017 8.618 0.000
## Social_deprvtn 0.243 0.018 13.513 0.000
## Physical_ctvty -0.507 0.040 -12.710 0.000
## Age_BL ~~
## Language_BL -0.004 0.002 -2.035 0.042
## Language_FU1 -0.004 0.002 -2.225 0.026
## Materil_dprvtn -0.005 0.002 -2.293 0.022
## Social_deprvtn -0.003 0.002 -1.407 0.159
## Physical_ctvty -0.080 0.005 -16.849 0.000
## Language_BL ~~
## Language_FU1 0.142 0.002 75.314 0.000
## Materil_dprvtn 0.023 0.001 15.852 0.000
## Social_deprvtn 0.021 0.001 14.464 0.000
## Physical_ctvty -0.010 0.003 -3.076 0.002
## Language_FU1 ~~
## Materil_dprvtn 0.022 0.001 15.472 0.000
## Social_deprvtn 0.021 0.001 14.365 0.000
## Physical_ctvty -0.010 0.003 -3.225 0.001
## Material_deprivation ~~
## Social_deprvtn 0.013 0.002 8.236 0.000
## Physical_ctvty -0.002 0.003 -0.589 0.556
## Social_deprivation ~~
## Physical_ctvty -0.025 0.004 -6.936 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 10.837 12.446 11.642 0.459 0.136
##
## 24.926 27.808 26.367 0.541 0.143
##
## 0.553 0.646 0.600 0.276 0.211
##
## 0.044 0.241 0.114 0.114 0.234
##
## 0.656 0.911 0.180 0.180 0.209
## 1.366 1.621 0.328 0.328 0.052
##
## 0.243 0.428 0.280 0.280 0.237
##
## -0.554 -0.422 -0.488 -0.140 0.048
## -0.352 -0.283 -0.317 -0.178 0.081
## 1.780 2.080 1.930 0.249 0.058
## -0.010 0.018 0.004 0.005 0.036
## -0.003 0.011 0.004 0.010 0.051
## 0.267 0.354 0.311 0.136 0.051
## -0.506 -0.373 -0.440 -0.125 0.069
## 1.445 1.724 1.584 0.219 0.061
## 0.186 0.219 0.203 0.235 0.041
## -0.024 -0.002 -0.013 -0.021 0.045
## -0.024 -0.002 -0.013 -0.021 0.052
## 0.042 0.066 0.054 0.087 0.083
## 0.029 0.054 0.041 0.063 0.080
## -0.234 -0.178 -0.206 -0.147 0.130
##
## 0.808 0.905 0.856 0.344 0.025
## -1.442 -1.044 -1.243 -0.115 0.006
## -0.157 -0.118 -0.138 -0.130 0.001
## -0.033 -0.014 -0.024 -0.046 0.004
## -0.919 -0.798 -0.858 -0.269 0.006
## 0.503 0.684 0.593 0.121 0.020
## -1.596 -1.224 -1.410 -0.140 0.005
## -0.069 -0.026 -0.047 -0.040 0.001
## -0.047 -0.017 -0.032 -0.038 0.002
## -0.046 -0.015 -0.031 -0.037 0.008
## -0.254 -0.221 -0.237 -0.274 0.031
## -0.105 -0.071 -0.088 -0.098 0.035
## -0.089 -0.014 -0.052 -0.026 0.105
##
## -0.215 -0.011 -0.113 -0.020 0.028
## -0.060 -0.040 -0.050 -0.091 0.024
## 0.015 0.025 0.020 0.074 0.034
## -0.389 -0.326 -0.357 -0.219 0.034
## 0.519 0.615 0.567 0.226 0.042
## -1.337 -1.140 -1.239 -0.240 0.033
## -0.114 -0.091 -0.102 -0.167 0.024
## -0.064 -0.048 -0.056 -0.130 0.026
## -0.062 -0.046 -0.054 -0.126 0.031
## -0.145 -0.127 -0.136 -0.307 0.056
## -0.148 -0.130 -0.139 -0.300 0.057
## 0.137 0.176 0.157 0.157 0.114
##
## -0.145 -0.059 -0.102 -0.043 0.002
## 0.048 0.090 0.069 0.060 0.004
## -0.191 0.070 -0.060 -0.008 0.009
## -1.541 -1.137 -1.339 -0.123 0.022
## 1.075 1.900 1.487 0.066 0.009
## 0.051 0.148 0.100 0.037 0.003
## -0.112 -0.044 -0.078 -0.042 0.004
## -0.112 -0.044 -0.078 -0.042 0.009
## 0.109 0.181 0.145 0.075 0.037
## -0.066 0.009 -0.028 -0.014 0.039
## -0.416 -0.249 -0.333 -0.077 0.099
##
## -0.001 0.003 0.001 0.010 -0.000
## 0.024 0.050 0.037 0.053 0.004
## -0.075 -0.035 -0.055 -0.052 0.017
## 0.012 0.092 0.052 0.024 0.003
## -0.011 -0.002 -0.007 -0.025 -0.000
## -0.006 0.001 -0.003 -0.014 -0.000
## -0.006 0.001 -0.003 -0.015 0.006
## 0.033 0.040 0.036 0.193 0.035
## -0.002 0.006 0.002 0.011 0.039
## 0.003 0.020 0.011 0.027 0.103
##
## 0.004 0.016 0.010 0.030 0.006
## 0.070 0.090 0.080 0.154 0.082
## -0.043 -0.003 -0.023 -0.021 0.009
## 0.007 0.012 0.009 0.073 -0.000
## -0.000 0.003 0.001 0.015 -0.000
## -0.000 0.003 0.002 0.018 0.008
## -0.008 -0.004 -0.006 -0.063 0.032
## 0.000 0.004 0.002 0.022 0.034
## 0.002 0.010 0.006 0.030 0.127
##
## 0.028 0.147 0.088 0.027 0.023
## 0.721 0.966 0.843 0.127 0.007
## 0.047 0.076 0.062 0.078 0.004
## 0.041 0.061 0.051 0.093 0.003
## 0.041 0.061 0.051 0.093 0.010
## 0.081 0.102 0.091 0.161 0.038
## 0.069 0.092 0.081 0.135 0.042
## -0.083 -0.033 -0.058 -0.045 0.120
##
## -1.444 -1.067 -1.256 -0.124 0.020
## 0.034 0.078 0.056 0.046 0.019
## 0.030 0.061 0.046 0.055 0.013
## 0.034 0.065 0.049 0.058 0.018
## -0.143 -0.110 -0.126 -0.145 0.051
## -0.075 -0.041 -0.058 -0.064 0.050
## 0.089 0.165 0.127 0.065 0.106
##
## -0.119 -0.027 -0.073 -0.029 0.003
## -0.075 -0.012 -0.043 -0.025 0.002
## -0.078 -0.014 -0.046 -0.027 0.008
## 0.114 0.181 0.148 0.082 0.040
## 0.208 0.278 0.243 0.129 0.041
## -0.585 -0.429 -0.507 -0.125 0.093
##
## -0.008 -0.000 -0.004 -0.019 -0.000
## -0.008 -0.001 -0.004 -0.021 0.004
## -0.009 -0.001 -0.005 -0.022 0.032
## -0.007 0.001 -0.003 -0.013 0.035
## -0.089 -0.071 -0.080 -0.166 0.080
##
## 0.138 0.145 0.142 0.983 0.002
## 0.020 0.025 0.023 0.151 0.031
## 0.019 0.024 0.021 0.138 0.033
## -0.016 -0.004 -0.010 -0.030 0.066
##
## 0.019 0.025 0.022 0.148 0.037
## 0.019 0.024 0.021 0.137 0.038
## -0.017 -0.004 -0.010 -0.031 0.070
##
## 0.010 0.016 0.013 0.078 0.039
## -0.009 0.005 -0.002 -0.006 0.131
##
## -0.032 -0.018 -0.025 -0.069 0.119
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e1) 23.270 0.383 60.699 0.000 22.519 24.022
## .MEM_BL (f1) 4.540 0.095 47.681 0.000 4.353 4.726
## .EF_DELTA (l1) 5.626 0.505 11.133 0.000 4.635 6.616
## .MEM_DELTA (n1) 3.408 0.110 31.045 0.000 3.193 3.623
## Mltmrbdty 1.653 0.015 110.000 0.000 1.624 1.683
## Education -0.498 0.021 -24.277 0.000 -0.538 -0.458
## Income -0.459 0.011 -43.251 0.000 -0.480 -0.439
## BMI 28.329 0.046 619.953 0.000 28.240 28.419
## Source.BL 1.361 0.004 304.769 0.000 1.352 1.370
## White 0.442 0.002 202.808 0.000 0.437 0.446
## Smoking 0.493 0.014 36.456 0.000 0.466 0.519
## Alcohol -1.048 0.021 -50.333 0.000 -1.089 -1.007
## Depressin 1.119 0.043 26.236 0.000 1.035 1.202
## Age_BL 0.000 0.005 0.000 1.000 -0.010 0.010
## Langug_BL 1.174 0.004 333.162 0.000 1.167 1.181
## Langg_FU1 1.175 0.004 331.654 0.000 1.168 1.182
## Mtrl_dprv 0.026 0.004 6.938 0.000 0.018 0.033
## Scl_dprvt 0.030 0.004 7.638 0.000 0.022 0.037
## Physcl_ct 0.079 0.009 9.208 0.000 0.062 0.096
## Std.lv Std.all FMI
## 5.554 5.554 0.034
## 3.402 3.402 0.039
## 1.582 1.582 0.232
## 2.367 2.367 0.205
## 1.653 1.046 0.043
## -0.498 -0.226 0.001
## -0.459 -0.407 0.025
## 28.329 5.774 0.003
## 1.361 2.834 -0.000
## 0.442 1.886 -0.000
## 0.493 0.340 0.004
## -1.048 -0.472 0.017
## 1.119 0.244 0.003
## 0.000 0.000 -0.000
## 1.174 3.098 -0.000
## 1.175 3.091 0.005
## 0.026 0.066 0.032
## 0.030 0.072 0.035
## 0.079 0.089 0.084
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g1) 12.702 0.395 32.191 0.000 11.929 13.476
## .MEM_BL (h1) 1.633 0.023 69.783 0.000 1.587 1.679
## Vr_F_C.BL (i1) 25.367 0.403 62.977 0.000 24.577 26.156
## V_F_C.FU1 (i1) 25.367 0.403 62.977 0.000 24.577 26.156
## .MAT_Sc.BL (j1) 48.775 0.713 68.412 0.000 47.377 50.172
## .MAT_S.FU1 (j1) 48.775 0.713 68.412 0.000 47.377 50.172
## COG_REYII (k1) 2.174 0.022 97.397 0.000 2.130 2.218
## COG_REYII (k1) 2.174 0.022 97.397 0.000 2.130 2.218
## .EF_DELTA (m1) 0.960 0.256 3.745 0.000 0.458 1.463
## .MEM_DELTA (o1) 1.499 0.023 64.632 0.000 1.454 1.545
## Mltmrbdty 2.500 0.034 73.918 0.000 2.434 2.566
## Education 4.856 0.064 75.991 0.000 4.731 4.981
## Income 1.273 0.017 74.702 0.000 1.239 1.306
## BMI 24.073 0.317 75.880 0.000 23.451 24.694
## Source.BL 0.231 0.003 76.049 0.000 0.225 0.237
## White 0.055 0.001 76.049 0.000 0.053 0.056
## Smoking 2.102 0.028 75.861 0.000 2.048 2.156
## Alcohol 4.929 0.066 75.145 0.000 4.800 5.057
## Depressin 20.969 0.276 75.905 0.000 20.428 21.511
## Age_BL 0.297 0.004 76.049 0.000 0.289 0.305
## Langug_BL 0.144 0.002 76.049 0.000 0.140 0.147
## Langg_FU1 0.145 0.002 75.765 0.000 0.141 0.148
## Mtrl_dprv 0.154 0.002 74.528 0.000 0.150 0.158
## Scl_dprvt 0.168 0.002 74.528 0.000 0.164 0.173
## Physcl_ct 0.783 0.011 72.620 0.000 0.762 0.804
## Std.lv Std.all FMI
## 0.724 0.724 0.050
## 0.917 0.917 0.048
## 25.367 0.591 0.089
## 25.367 0.667 0.089
## 48.775 0.645 0.079
## 48.775 0.716 0.079
## 2.174 0.550 0.116
## 2.174 0.512 0.116
## 0.076 0.076 0.251
## 0.723 0.723 0.186
## 2.500 1.000 0.055
## 4.856 1.000 0.001
## 1.273 1.000 0.035
## 24.073 1.000 0.004
## 0.231 1.000 -0.000
## 0.055 1.000 -0.000
## 2.102 1.000 0.005
## 4.929 1.000 0.024
## 20.969 1.000 0.004
## 0.297 1.000 -0.000
## 0.144 1.000 -0.000
## 0.145 1.000 0.007
## 0.154 1.000 0.040
## 0.168 1.000 0.040
## 0.783 1.000 0.088
##
##
## Group 2 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b2) 1.243 0.004 283.294 0.000 1.234 1.251
## EF_FU1 =~
## MAT_S.FU1 (b2) 1.243 0.004 283.294 0.000 1.234 1.251
## MEM_BL =~
## COG_REYI_ (d2) 1.399 0.005 309.601 0.000 1.391 1.408
## MEM_FU1 =~
## COG_REYI_ (d2) 1.399 0.005 309.601 0.000 1.391 1.408
## Std.lv Std.all FMI
##
## 4.967 0.594 0.104
##
## 4.500 0.556 0.104
##
## 2.078 1.000 0.133
##
## 2.239 1.000 0.133
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL 0.794 0.023 34.262 0.000 0.749 0.839
## MEM_DELTA ~
## MEM_BL 0.424 0.012 34.202 0.000 0.400 0.448
## EF_DELTA ~
## Mltmrbd 0.024 0.024 1.008 0.314 -0.023 0.072
## Educatn 0.015 0.022 0.677 0.498 -0.028 0.058
## Income 0.055 0.058 0.963 0.335 -0.057 0.168
## BMI 0.026 0.008 3.178 0.001 0.010 0.042
## Sorc.BL -0.622 0.091 -6.821 0.000 -0.801 -0.443
## White 0.327 0.291 1.123 0.261 -0.244 0.898
## Smoking -0.039 0.036 -1.081 0.280 -0.110 0.032
## Alcohol 0.057 0.019 2.914 0.004 0.019 0.095
## Deprssn -0.014 0.010 -1.406 0.160 -0.033 0.005
## EF_BL ~
## Mltmrbd -0.055 0.028 -1.978 0.048 -0.110 -0.001
## Educatn 0.502 0.022 22.865 0.000 0.459 0.545
## Income 0.307 0.069 4.455 0.000 0.172 0.442
## BMI 0.018 0.010 1.886 0.059 -0.001 0.037
## Sorc.BL 0.056 0.107 0.524 0.600 -0.154 0.267
## White 2.712 0.321 8.439 0.000 2.082 3.341
## Smoking -0.046 0.041 -1.123 0.262 -0.127 0.035
## Alcohol 0.089 0.023 3.899 0.000 0.044 0.133
## Deprssn -0.087 0.011 -7.764 0.000 -0.109 -0.065
## Age_BL -1.941 0.094 -20.670 0.000 -2.125 -1.757
## Lngg_BL -1.268 0.137 -9.246 0.000 -1.537 -0.999
## EF_DELTA ~
## Age_BL -0.778 0.091 -8.504 0.000 -0.957 -0.598
## Lng_FU1 -0.236 0.118 -1.995 0.046 -0.468 -0.004
## EF_BL ~
## Mtrl_dp (c111) -0.497 0.138 -3.604 0.000 -0.768 -0.227
## Scl_dpr (c121) 0.056 0.133 0.424 0.671 -0.204 0.316
## Physcl_ (b11b) 0.495 0.092 5.356 0.000 0.314 0.676
## EF_DELTA ~
## Mtrl_dp (c211) -0.019 0.117 -0.162 0.871 -0.249 0.211
## Scl_dpr (c221) -0.036 0.112 -0.323 0.747 -0.255 0.183
## Physcl_ (b21b) 0.199 0.075 2.642 0.008 0.051 0.346
## MEM_DELTA ~
## Mltmrbd -0.010 0.009 -1.014 0.311 -0.028 0.009
## Educatn 0.037 0.008 4.943 0.000 0.022 0.052
## Income 0.083 0.023 3.650 0.000 0.039 0.128
## BMI 0.000 0.003 0.123 0.902 -0.006 0.007
## Sorc.BL -0.169 0.036 -4.673 0.000 -0.240 -0.098
## White 0.315 0.111 2.837 0.005 0.097 0.533
## Smoking -0.022 0.014 -1.515 0.130 -0.050 0.006
## Alcohol 0.006 0.008 0.777 0.437 -0.009 0.021
## Deprssn -0.008 0.004 -2.066 0.039 -0.015 -0.000
## MEM_BL ~
## Mltmrbd -0.007 0.008 -0.895 0.371 -0.024 0.009
## Educatn 0.090 0.007 13.569 0.000 0.077 0.103
## Income 0.074 0.021 3.526 0.000 0.033 0.115
## BMI 0.007 0.003 2.422 0.015 0.001 0.013
## Sorc.BL 0.386 0.032 11.892 0.000 0.323 0.450
## White 0.290 0.097 2.987 0.003 0.100 0.480
## Smoking -0.030 0.012 -2.395 0.017 -0.054 -0.005
## Alcohol 0.022 0.007 3.129 0.002 0.008 0.035
## Deprssn -0.016 0.003 -4.695 0.000 -0.022 -0.009
## Age_BL -0.506 0.028 -17.825 0.000 -0.561 -0.450
## Lngg_BL -0.125 0.041 -3.030 0.002 -0.205 -0.044
## MEM_DELTA ~
## Age_BL -0.538 0.032 -16.733 0.000 -0.601 -0.475
## Lng_FU1 0.018 0.045 0.393 0.694 -0.071 0.106
## MEM_BL ~
## Mtrl_dp (c112) 0.006 0.042 0.135 0.893 -0.076 0.087
## Scl_dpr (c122) -0.042 0.040 -1.048 0.295 -0.120 0.036
## Physcl_ (b12b) 0.166 0.028 5.957 0.000 0.111 0.221
## MEM_DELTA ~
## Mtrl_dp (c212) -0.003 0.046 -0.072 0.942 -0.093 0.087
## Scl_dpr (c222) -0.051 0.044 -1.153 0.249 -0.138 0.036
## Physcl_ (b22b) 0.145 0.029 4.935 0.000 0.087 0.203
## Std.lv Std.all FMI
##
## 0.877 0.877 0.317
##
## 0.394 0.394 0.317
##
## 0.007 0.014 0.394
## 0.004 0.011 0.308
## 0.015 0.014 0.346
## 0.007 0.040 0.314
## -0.172 -0.083 0.295
## 0.090 0.014 0.346
## -0.011 -0.014 0.343
## 0.016 0.038 0.330
## -0.004 -0.018 0.303
##
## -0.014 -0.029 0.152
## 0.126 0.321 0.054
## 0.077 0.070 0.158
## 0.005 0.025 0.051
## 0.014 0.007 0.047
## 0.678 0.107 0.044
## -0.012 -0.015 0.056
## 0.022 0.054 0.092
## -0.022 -0.102 0.055
## -0.486 -0.284 0.050
## -0.317 -0.120 0.040
##
## -0.215 -0.126 0.300
## -0.065 -0.025 0.273
##
## -0.124 -0.052 0.103
## 0.014 0.006 0.105
## 0.124 0.077 0.152
##
## -0.005 -0.002 0.331
## -0.010 -0.004 0.326
## 0.055 0.034 0.304
##
## -0.006 -0.012 0.383
## 0.023 0.059 0.302
## 0.052 0.047 0.351
## 0.000 0.001 0.299
## -0.106 -0.051 0.279
## 0.197 0.031 0.323
## -0.014 -0.017 0.329
## 0.004 0.009 0.320
## -0.005 -0.023 0.288
##
## -0.005 -0.010 0.154
## 0.060 0.154 0.058
## 0.050 0.045 0.177
## 0.005 0.027 0.071
## 0.260 0.125 0.062
## 0.195 0.031 0.058
## -0.020 -0.025 0.062
## 0.015 0.036 0.113
## -0.011 -0.050 0.061
## -0.341 -0.199 0.061
## -0.084 -0.032 0.035
##
## -0.336 -0.197 0.288
## 0.011 0.004 0.251
##
## 0.004 0.002 0.112
## -0.028 -0.012 0.112
## 0.112 0.070 0.164
##
## -0.002 -0.001 0.316
## -0.032 -0.013 0.319
## 0.091 0.056 0.290
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 7.371 0.368 20.029 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 20.428 0.766 26.658 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.692 0.034 20.435 0.000
## .MEM_BL ~~
## .EF_DELTA 0.034 0.063 0.549 0.583
## .EF_BL ~~
## .MEM_DELTA 0.691 0.077 8.916 0.000
## .MEM_BL 1.407 0.072 19.427 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.424 0.060 7.067 0.000
## Multimorbidity ~~
## Education -0.465 0.059 -7.872 0.000
## Income -0.278 0.022 -12.450 0.000
## BMI 2.309 0.133 17.395 0.000
## Source.BL -0.013 0.011 -1.184 0.236
## White -0.008 0.004 -2.234 0.025
## Smoking 0.190 0.029 6.536 0.000
## Alcohol -0.835 0.058 -14.322 0.000
## Depression 2.161 0.112 19.348 0.000
## Age_BL 0.199 0.014 14.627 0.000
## Language_BL -0.004 0.009 -0.429 0.668
## Language_FU1 -0.001 0.009 -0.058 0.953
## Materil_dprvtn 0.049 0.010 5.010 0.000
## Social_deprvtn 0.063 0.010 6.566 0.000
## Physical_ctvty -0.284 0.015 -18.521 0.000
## Education ~~
## Income 0.848 0.027 30.989 0.000
## BMI -1.208 0.152 -7.942 0.000
## Source.BL -0.087 0.013 -6.635 0.000
## White -0.015 0.004 -3.490 0.000
## Smoking -0.327 0.034 -9.543 0.000
## Alcohol 1.215 0.069 17.556 0.000
## Depression -1.235 0.128 -9.658 0.000
## Age_BL -0.218 0.016 -13.635 0.000
## Language_BL -0.114 0.010 -10.975 0.000
## Language_FU1 -0.110 0.010 -10.549 0.000
## Materil_dprvtn -0.293 0.012 -24.523 0.000
## Social_deprvtn -0.070 0.011 -6.162 0.000
## Physical_ctvty 0.160 0.018 9.007 0.000
## Income ~~
## BMI -0.519 0.057 -9.086 0.000
## Source.BL -0.047 0.005 -9.573 0.000
## White 0.005 0.002 3.143 0.002
## Smoking -0.104 0.013 -8.120 0.000
## Alcohol 0.615 0.026 23.514 0.000
## Depression -0.645 0.048 -13.341 0.000
## Age_BL -0.076 0.006 -12.702 0.000
## Language_BL -0.052 0.004 -13.399 0.000
## Language_FU1 -0.051 0.004 -12.998 0.000
## Materil_dprvtn -0.114 0.004 -25.512 0.000
## Social_deprvtn -0.092 0.004 -21.035 0.000
## Physical_ctvty 0.072 0.007 10.834 0.000
## BMI ~~
## Source.BL -0.211 0.029 -7.352 0.000
## White 0.000 0.009 0.038 0.970
## Smoking -0.028 0.075 -0.374 0.709
## Alcohol -2.204 0.151 -14.633 0.000
## Depression 1.990 0.281 7.085 0.000
## Age_BL -0.402 0.035 -11.486 0.000
## Language_BL -0.027 0.023 -1.196 0.232
## Language_FU1 -0.025 0.023 -1.094 0.274
## Materil_dprvtn 0.216 0.025 8.492 0.000
## Social_deprvtn 0.060 0.025 2.420 0.016
## Physical_ctvty -0.510 0.039 -13.020 0.000
## Source.BL ~~
## White 0.002 0.001 2.467 0.014
## Smoking 0.012 0.006 1.938 0.053
## Alcohol -0.088 0.013 -6.848 0.000
## Depression 0.007 0.024 0.286 0.775
## Age_BL 0.018 0.003 5.953 0.000
## Language_BL -0.007 0.002 -3.443 0.001
## Language_FU1 -0.007 0.002 -3.522 0.000
## Materil_dprvtn 0.036 0.002 16.424 0.000
## Social_deprvtn -0.003 0.002 -1.535 0.125
## Physical_ctvty -0.014 0.003 -4.305 0.000
## White ~~
## Smoking 0.015 0.002 7.015 0.000
## Alcohol 0.035 0.004 8.036 0.000
## Depression -0.027 0.008 -3.374 0.001
## Age_BL 0.002 0.001 2.253 0.024
## Language_BL 0.001 0.001 1.905 0.057
## Language_FU1 0.001 0.001 2.320 0.020
## Materil_dprvtn -0.002 0.001 -2.154 0.031
## Social_deprvtn -0.000 0.001 -0.245 0.806
## Physical_ctvty 0.001 0.001 1.225 0.220
## Smoking ~~
## Alcohol 0.250 0.034 7.444 0.000
## Depression 0.380 0.063 6.042 0.000
## Age_BL -0.052 0.008 -6.619 0.000
## Language_BL 0.010 0.005 2.013 0.044
## Language_FU1 0.007 0.005 1.433 0.152
## Materil_dprvtn 0.031 0.006 5.391 0.000
## Social_deprvtn 0.042 0.006 7.534 0.000
## Physical_ctvty -0.024 0.009 -2.734 0.006
## Alcohol ~~
## Depression -0.916 0.125 -7.313 0.000
## Age_BL -0.077 0.016 -4.943 0.000
## Language_BL 0.024 0.010 2.363 0.018
## Language_FU1 0.025 0.010 2.488 0.013
## Materil_dprvtn -0.193 0.012 -16.791 0.000
## Social_deprvtn -0.072 0.011 -6.426 0.000
## Physical_ctvty 0.148 0.017 8.586 0.000
## Depression ~~
## Age_BL 0.117 0.029 4.029 0.000
## Language_BL 0.040 0.019 2.123 0.034
## Language_FU1 0.041 0.019 2.140 0.032
## Materil_dprvtn 0.106 0.021 4.971 0.000
## Social_deprvtn 0.116 0.021 5.532 0.000
## Physical_ctvty -0.411 0.033 -12.510 0.000
## Age_BL ~~
## Language_BL -0.005 0.002 -2.301 0.021
## Language_FU1 -0.006 0.002 -2.402 0.016
## Materil_dprvtn -0.005 0.003 -1.792 0.073
## Social_deprvtn 0.019 0.003 7.282 0.000
## Physical_ctvty -0.099 0.004 -23.733 0.000
## Language_BL ~~
## Language_FU1 0.141 0.002 66.067 0.000
## Materil_dprvtn 0.031 0.002 17.471 0.000
## Social_deprvtn 0.022 0.002 13.010 0.000
## Physical_ctvty -0.008 0.003 -2.899 0.004
## Language_FU1 ~~
## Materil_dprvtn 0.030 0.002 17.167 0.000
## Social_deprvtn 0.023 0.002 13.316 0.000
## Physical_ctvty -0.007 0.003 -2.590 0.010
## Material_deprivation ~~
## Social_deprvtn 0.006 0.002 3.339 0.001
## Physical_ctvty -0.015 0.003 -5.017 0.000
## Social_deprivation ~~
## Physical_ctvty -0.025 0.003 -8.555 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 6.649 8.092 7.371 0.405 0.202
##
## 18.926 21.930 20.428 0.451 0.236
##
## 0.625 0.758 0.692 0.265 0.298
##
## -0.089 0.158 0.030 0.030 0.314
##
## 0.539 0.843 0.161 0.161 0.303
## 1.265 1.549 0.317 0.317 0.071
##
## 0.306 0.541 0.381 0.381 0.326
##
## -0.581 -0.349 -0.465 -0.088 0.100
## -0.322 -0.234 -0.278 -0.147 0.187
## 2.049 2.570 2.309 0.200 0.118
## -0.035 0.009 -0.013 -0.013 0.080
## -0.015 -0.001 -0.008 -0.025 0.088
## 0.133 0.246 0.190 0.073 0.100
## -0.950 -0.721 -0.835 -0.165 0.135
## 1.942 2.380 2.161 0.223 0.116
## 0.173 0.226 0.199 0.165 0.096
## -0.021 0.013 -0.004 -0.005 0.111
## -0.018 0.017 -0.001 -0.001 0.121
## 0.030 0.069 0.049 0.057 0.146
## 0.045 0.082 0.063 0.075 0.142
## -0.314 -0.254 -0.284 -0.221 0.177
##
## 0.794 0.901 0.848 0.364 0.082
## -1.507 -0.910 -1.208 -0.085 0.008
## -0.112 -0.061 -0.087 -0.070 0.003
## -0.023 -0.007 -0.015 -0.037 0.007
## -0.394 -0.260 -0.327 -0.102 0.009
## 1.080 1.351 1.215 0.194 0.053
## -1.486 -0.985 -1.235 -0.103 0.010
## -0.249 -0.187 -0.218 -0.146 0.003
## -0.134 -0.093 -0.114 -0.117 0.005
## -0.130 -0.089 -0.110 -0.113 0.014
## -0.316 -0.269 -0.293 -0.276 0.051
## -0.093 -0.048 -0.070 -0.067 0.058
## 0.126 0.195 0.160 0.101 0.101
##
## -0.631 -0.407 -0.519 -0.102 0.100
## -0.057 -0.037 -0.047 -0.107 0.092
## 0.002 0.008 0.005 0.035 0.110
## -0.129 -0.079 -0.104 -0.091 0.096
## 0.563 0.666 0.615 0.275 0.121
## -0.740 -0.550 -0.645 -0.151 0.106
## -0.088 -0.064 -0.076 -0.142 0.093
## -0.059 -0.044 -0.052 -0.150 0.087
## -0.058 -0.043 -0.051 -0.146 0.095
## -0.123 -0.106 -0.114 -0.302 0.129
## -0.101 -0.083 -0.092 -0.247 0.139
## 0.059 0.085 0.072 0.127 0.169
##
## -0.267 -0.155 -0.211 -0.078 0.006
## -0.018 0.019 0.000 0.000 0.012
## -0.174 0.118 -0.028 -0.004 0.010
## -2.499 -1.908 -2.204 -0.161 0.051
## 1.439 2.540 1.990 0.076 0.021
## -0.470 -0.333 -0.402 -0.123 0.008
## -0.071 0.017 -0.027 -0.013 0.008
## -0.069 0.020 -0.025 -0.012 0.016
## 0.166 0.265 0.216 0.093 0.057
## 0.011 0.109 0.060 0.026 0.062
## -0.587 -0.434 -0.510 -0.147 0.101
##
## 0.000 0.004 0.002 0.026 -0.000
## -0.000 0.025 0.012 0.021 0.007
## -0.113 -0.063 -0.088 -0.075 0.051
## -0.040 0.054 0.007 0.003 0.006
## 0.012 0.024 0.018 0.063 -0.000
## -0.010 -0.003 -0.007 -0.036 -0.000
## -0.011 -0.003 -0.007 -0.037 0.010
## 0.032 0.041 0.036 0.181 0.052
## -0.008 0.001 -0.003 -0.017 0.059
## -0.021 -0.008 -0.014 -0.048 0.105
##
## 0.011 0.019 0.015 0.074 0.000
## 0.027 0.044 0.035 0.092 0.135
## -0.042 -0.011 -0.027 -0.036 0.012
## 0.000 0.004 0.002 0.024 -0.000
## -0.000 0.002 0.001 0.020 -0.000
## 0.000 0.003 0.001 0.025 0.009
## -0.003 -0.000 -0.002 -0.023 0.019
## -0.002 0.001 -0.000 -0.003 0.021
## -0.001 0.003 0.001 0.014 0.103
##
## 0.184 0.315 0.250 0.081 0.053
## 0.257 0.503 0.380 0.065 0.017
## -0.067 -0.036 -0.052 -0.070 0.007
## 0.000 0.020 0.010 0.021 0.008
## -0.003 0.017 0.007 0.015 0.020
## 0.019 0.042 0.031 0.059 0.052
## 0.031 0.053 0.042 0.082 0.057
## -0.041 -0.007 -0.024 -0.031 0.109
##
## -1.161 -0.670 -0.916 -0.080 0.054
## -0.107 -0.046 -0.077 -0.054 0.050
## 0.004 0.043 0.024 0.025 0.034
## 0.005 0.045 0.025 0.027 0.042
## -0.216 -0.171 -0.193 -0.190 0.095
## -0.093 -0.050 -0.072 -0.072 0.094
## 0.114 0.182 0.148 0.097 0.122
##
## 0.060 0.175 0.117 0.043 0.009
## 0.003 0.077 0.040 0.023 0.009
## 0.003 0.078 0.041 0.023 0.017
## 0.064 0.147 0.106 0.054 0.057
## 0.075 0.157 0.116 0.061 0.065
## -0.475 -0.347 -0.411 -0.141 0.102
##
## -0.010 -0.001 -0.005 -0.024 -0.000
## -0.010 -0.001 -0.006 -0.026 0.009
## -0.010 0.000 -0.005 -0.020 0.057
## 0.014 0.024 0.019 0.080 0.063
## -0.107 -0.091 -0.099 -0.272 0.090
##
## 0.137 0.145 0.141 0.979 0.004
## 0.027 0.034 0.031 0.194 0.058
## 0.019 0.026 0.022 0.144 0.065
## -0.013 -0.002 -0.008 -0.032 0.076
##
## 0.027 0.034 0.030 0.191 0.066
## 0.020 0.026 0.023 0.148 0.073
## -0.012 -0.002 -0.007 -0.029 0.081
##
## 0.003 0.010 0.006 0.036 0.060
## -0.020 -0.009 -0.015 -0.057 0.132
##
## -0.031 -0.019 -0.025 -0.098 0.137
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e2) 18.506 0.398 46.484 0.000 17.726 19.286
## .MEM_BL (f2) 3.419 0.121 28.359 0.000 3.183 3.655
## .EF_DELTA (l2) 3.373 0.545 6.188 0.000 2.305 4.442
## .MEM_DELTA (n2) 2.584 0.140 18.413 0.000 2.309 2.859
## Mltmrbdty 3.251 0.023 141.502 0.000 3.206 3.296
## Education -0.450 0.027 -16.644 0.000 -0.503 -0.397
## Income 0.459 0.010 45.384 0.000 0.439 0.479
## BMI 27.510 0.059 464.042 0.000 27.393 27.626
## Source.BL 1.367 0.005 268.371 0.000 1.357 1.377
## White 0.475 0.002 285.016 0.000 0.471 0.478
## Smoking 0.240 0.013 18.003 0.000 0.214 0.266
## Alcohol 0.211 0.027 7.957 0.000 0.159 0.263
## Depressin 0.824 0.050 16.567 0.000 0.727 0.922
## Age_BL 0.000 0.006 0.000 1.000 -0.012 0.012
## Langug_BL 1.174 0.004 292.820 0.000 1.167 1.182
## Langg_FU1 1.174 0.004 291.523 0.000 1.166 1.182
## Mtrl_dprv 0.023 0.004 5.008 0.000 0.014 0.031
## Scl_dprvt 0.017 0.004 3.810 0.000 0.008 0.026
## Physcl_ct 0.061 0.007 8.794 0.000 0.047 0.074
## Std.lv Std.all FMI
## 4.630 4.630 0.055
## 2.303 2.303 0.068
## 0.932 0.932 0.313
## 1.616 1.616 0.296
## 3.251 1.572 0.095
## -0.450 -0.176 0.003
## 0.459 0.503 0.092
## 27.510 4.918 0.006
## 1.367 2.836 -0.000
## 0.475 3.012 -0.000
## 0.240 0.191 0.007
## 0.211 0.086 0.045
## 0.824 0.176 0.008
## 0.000 0.000 -0.000
## 1.174 3.095 -0.000
## 1.174 3.094 0.009
## 0.023 0.054 0.049
## 0.017 0.041 0.054
## 0.061 0.097 0.091
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g2) 10.219 0.366 27.953 0.000 9.502 10.935
## .MEM_BL (h2) 1.931 0.032 59.823 0.000 1.868 1.994
## Vr_F_C.BL (i2) 18.201 0.356 51.187 0.000 17.504 18.898
## V_F_C.FU1 (i2) 18.201 0.356 51.187 0.000 17.504 18.898
## .MAT_Sc.BL (j2) 45.308 0.719 62.987 0.000 43.898 46.717
## .MAT_S.FU1 (j2) 45.308 0.719 62.987 0.000 43.898 46.717
## COG_REYII (k2) 2.607 0.031 83.595 0.000 2.546 2.668
## COG_REYII (k2) 2.607 0.031 83.595 0.000 2.546 2.668
## .EF_DELTA (m2) 0.682 0.291 2.344 0.019 0.112 1.253
## .MEM_DELTA (o2) 1.812 0.034 53.326 0.000 1.746 1.879
## Mltmrbdty 4.276 0.068 63.118 0.000 4.143 4.409
## Education 6.526 0.098 66.790 0.000 6.335 6.718
## Income 0.833 0.013 63.054 0.000 0.807 0.858
## BMI 31.286 0.469 66.675 0.000 30.366 32.206
## Source.BL 0.232 0.003 66.907 0.000 0.226 0.239
## White 0.025 0.000 66.907 0.000 0.024 0.026
## Smoking 1.577 0.024 66.668 0.000 1.530 1.623
## Alcohol 6.002 0.092 65.047 0.000 5.821 6.183
## Depressin 21.989 0.330 66.621 0.000 21.342 22.636
## Age_BL 0.342 0.005 66.907 0.000 0.332 0.352
## Langug_BL 0.144 0.002 66.907 0.000 0.140 0.148
## Langg_FU1 0.144 0.002 66.447 0.000 0.140 0.148
## Mtrl_dprv 0.172 0.003 64.840 0.000 0.167 0.178
## Scl_dprvt 0.167 0.003 64.871 0.000 0.162 0.172
## Physcl_ct 0.387 0.006 63.311 0.000 0.375 0.399
## Std.lv Std.all FMI
## 0.640 0.640 0.077
## 0.876 0.876 0.068
## 18.201 0.533 0.132
## 18.201 0.581 0.132
## 45.308 0.647 0.125
## 45.308 0.691 0.125
## 2.607 0.542 0.173
## 2.607 0.505 0.173
## 0.052 0.052 0.334
## 0.708 0.708 0.264
## 4.276 1.000 0.110
## 6.526 1.000 0.003
## 0.833 1.000 0.112
## 31.286 1.000 0.007
## 0.232 1.000 -0.000
## 0.025 1.000 -0.000
## 1.577 1.000 0.007
## 6.002 1.000 0.055
## 21.989 1.000 0.009
## 0.342 1.000 -0.000
## 0.144 1.000 -0.000
## 0.144 1.000 0.014
## 0.172 1.000 0.061
## 0.167 1.000 0.060
## 0.387 1.000 0.105
##
##
## Group 3 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b3) 1.205 0.003 385.304 0.000 1.199 1.211
## EF_FU1 =~
## MAT_S.FU1 (b3) 1.205 0.003 385.304 0.000 1.199 1.211
## MEM_BL =~
## COG_REYI_ (d3) 1.291 0.003 492.389 0.000 1.285 1.296
## MEM_FU1 =~
## COG_REYI_ (d3) 1.291 0.003 492.389 0.000 1.285 1.296
## Std.lv Std.all FMI
##
## 4.667 0.581 0.070
##
## 3.813 0.504 0.070
##
## 2.015 1.000 0.109
##
## 2.172 1.000 0.109
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL 0.712 0.019 37.867 0.000 0.675 0.749
## MEM_DELTA ~
## MEM_BL 0.459 0.010 46.568 0.000 0.440 0.479
## EF_DELTA ~
## Mltmrbd -0.037 0.024 -1.532 0.126 -0.084 0.010
## Educatn 0.077 0.021 3.748 0.000 0.037 0.118
## Income 0.044 0.040 1.110 0.267 -0.034 0.122
## BMI 0.009 0.006 1.514 0.130 -0.003 0.021
## Sorc.BL -0.368 0.075 -4.889 0.000 -0.515 -0.220
## White 0.556 0.196 2.841 0.005 0.172 0.939
## Smoking 0.023 0.026 0.888 0.375 -0.028 0.074
## Alcohol 0.019 0.018 1.052 0.293 -0.016 0.053
## Deprssn -0.021 0.008 -2.765 0.006 -0.036 -0.006
## EF_BL ~
## Mltmrbd -0.105 0.030 -3.483 0.000 -0.163 -0.046
## Educatn 0.485 0.024 20.597 0.000 0.438 0.531
## Income 0.385 0.050 7.657 0.000 0.287 0.484
## BMI 0.009 0.008 1.167 0.243 -0.006 0.024
## Sorc.BL 0.136 0.096 1.416 0.157 -0.052 0.325
## White 3.885 0.219 17.711 0.000 3.455 4.315
## Smoking -0.137 0.032 -4.244 0.000 -0.200 -0.074
## Alcohol 0.079 0.023 3.493 0.000 0.035 0.123
## Deprssn -0.068 0.009 -7.227 0.000 -0.086 -0.050
## Age_BL -0.964 0.091 -10.624 0.000 -1.142 -0.786
## Lngg_BL -0.823 0.124 -6.656 0.000 -1.065 -0.581
## EF_DELTA ~
## Age_BL -0.545 0.073 -7.454 0.000 -0.689 -0.402
## Lng_FU1 0.061 0.097 0.632 0.527 -0.129 0.252
## EF_BL ~
## Mtrl_dp (c111) -0.599 0.129 -4.659 0.000 -0.851 -0.347
## Scl_dpr (c121) 0.084 0.123 0.689 0.491 -0.156 0.325
## Physcl_ (b11c) 0.193 0.060 3.213 0.001 0.075 0.310
## EF_DELTA ~
## Mtrl_dp (c211) -0.245 0.102 -2.406 0.016 -0.445 -0.045
## Scl_dpr (c221) -0.147 0.096 -1.534 0.125 -0.334 0.041
## Physcl_ (b21c) 0.004 0.046 0.088 0.930 -0.085 0.093
## MEM_DELTA ~
## Mltmrbd -0.025 0.010 -2.460 0.014 -0.044 -0.005
## Educatn 0.062 0.008 8.021 0.000 0.047 0.077
## Income 0.041 0.016 2.522 0.012 0.009 0.073
## BMI -0.005 0.003 -2.050 0.040 -0.010 -0.000
## Sorc.BL -0.451 0.031 -14.439 0.000 -0.513 -0.390
## White 0.261 0.075 3.465 0.001 0.113 0.408
## Smoking -0.016 0.011 -1.510 0.131 -0.037 0.005
## Alcohol 0.010 0.007 1.336 0.181 -0.005 0.024
## Deprssn -0.008 0.003 -2.719 0.007 -0.015 -0.002
## MEM_BL ~
## Mltmrbd -0.009 0.009 -0.981 0.326 -0.027 0.009
## Educatn 0.108 0.007 14.840 0.000 0.093 0.122
## Income 0.077 0.016 4.942 0.000 0.047 0.108
## BMI -0.002 0.002 -0.773 0.440 -0.007 0.003
## Sorc.BL 0.209 0.030 7.018 0.000 0.151 0.268
## White 0.278 0.068 4.110 0.000 0.145 0.410
## Smoking -0.014 0.010 -1.416 0.157 -0.034 0.005
## Alcohol 0.029 0.007 4.158 0.000 0.015 0.043
## Deprssn -0.012 0.003 -4.213 0.000 -0.018 -0.007
## Age_BL -0.104 0.028 -3.703 0.000 -0.159 -0.049
## Lngg_BL -0.236 0.038 -6.212 0.000 -0.310 -0.161
## MEM_DELTA ~
## Age_BL -0.186 0.030 -6.303 0.000 -0.244 -0.128
## Lng_FU1 -0.039 0.040 -0.974 0.330 -0.118 0.040
## MEM_BL ~
## Mtrl_dp (c112) -0.047 0.040 -1.183 0.237 -0.125 0.031
## Scl_dpr (c122) -0.027 0.038 -0.718 0.473 -0.102 0.047
## Physcl_ (b12c) 0.044 0.019 2.363 0.018 0.007 0.080
## MEM_DELTA ~
## Mtrl_dp (c212) -0.077 0.042 -1.819 0.069 -0.159 0.006
## Scl_dpr (c222) 0.004 0.040 0.112 0.911 -0.073 0.082
## Physcl_ (b22c) 0.042 0.019 2.208 0.027 0.005 0.079
## Std.lv Std.all FMI
##
## 0.872 0.872 0.257
##
## 0.426 0.426 0.224
##
## -0.012 -0.020 0.302
## 0.024 0.052 0.243
## 0.014 0.016 0.267
## 0.003 0.018 0.240
## -0.116 -0.056 0.225
## 0.176 0.037 0.295
## 0.007 0.011 0.258
## 0.006 0.013 0.243
## -0.007 -0.034 0.248
##
## -0.027 -0.047 0.089
## 0.125 0.269 0.039
## 0.100 0.114 0.095
## 0.002 0.015 0.038
## 0.035 0.017 0.036
## 1.003 0.210 0.024
## -0.035 -0.053 0.039
## 0.020 0.045 0.059
## -0.018 -0.090 0.035
## -0.249 -0.134 0.037
## -0.213 -0.081 0.033
##
## -0.172 -0.093 0.228
## 0.019 0.007 0.214
##
## -0.155 -0.061 0.068
## 0.022 0.009 0.074
## 0.050 0.041 0.126
##
## -0.078 -0.031 0.264
## -0.046 -0.019 0.252
## 0.001 0.001 0.254
##
## -0.015 -0.025 0.280
## 0.037 0.079 0.216
## 0.025 0.028 0.251
## -0.003 -0.020 0.223
## -0.268 -0.129 0.199
## 0.155 0.032 0.275
## -0.010 -0.014 0.235
## 0.006 0.013 0.229
## -0.005 -0.026 0.234
##
## -0.006 -0.010 0.096
## 0.069 0.148 0.044
## 0.049 0.056 0.108
## -0.001 -0.007 0.046
## 0.134 0.065 0.049
## 0.178 0.037 0.028
## -0.009 -0.013 0.045
## 0.019 0.041 0.071
## -0.008 -0.040 0.047
## -0.066 -0.036 0.046
## -0.151 -0.058 0.030
##
## -0.111 -0.060 0.207
## -0.023 -0.009 0.193
##
## -0.030 -0.012 0.076
## -0.017 -0.007 0.085
## 0.028 0.023 0.135
##
## -0.045 -0.018 0.241
## 0.003 0.001 0.231
## 0.025 0.020 0.230
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 11.223 0.373 30.071 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 21.157 0.627 33.759 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.559 0.026 21.217 0.000
## .MEM_BL ~~
## .EF_DELTA 0.235 0.058 4.083 0.000
## .EF_BL ~~
## .MEM_DELTA 0.985 0.073 13.447 0.000
## .MEM_BL 1.628 0.071 22.931 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.241 0.054 4.502 0.000
## Multimorbidity ~~
## Education -0.518 0.035 -14.844 0.000
## Income -0.419 0.019 -21.874 0.000
## BMI 2.996 0.106 28.268 0.000
## Source.BL -0.005 0.008 -0.649 0.516
## White 0.004 0.003 1.194 0.233
## Smoking 0.194 0.024 8.120 0.000
## Alcohol -0.593 0.036 -16.306 0.000
## Depression 2.185 0.086 25.487 0.000
## Age_BL 0.223 0.009 25.210 0.000
## Language_BL -0.014 0.006 -2.223 0.026
## Language_FU1 -0.014 0.006 -2.222 0.026
## Materil_dprvtn 0.072 0.007 11.098 0.000
## Social_deprvtn 0.070 0.007 10.544 0.000
## Physical_ctvty -0.231 0.014 -16.415 0.000
## Education ~~
## Income 0.825 0.024 34.539 0.000
## BMI -1.930 0.124 -15.555 0.000
## Source.BL -0.114 0.009 -12.121 0.000
## White -0.020 0.004 -4.844 0.000
## Smoking -0.747 0.030 -25.148 0.000
## Alcohol 0.785 0.044 17.806 0.000
## Depression -1.304 0.101 -12.937 0.000
## Age_BL -0.104 0.010 -9.924 0.000
## Language_BL -0.046 0.007 -6.180 0.000
## Language_FU1 -0.045 0.007 -6.103 0.000
## Materil_dprvtn -0.229 0.008 -28.233 0.000
## Social_deprvtn -0.076 0.008 -9.467 0.000
## Physical_ctvty 0.161 0.017 9.466 0.000
## Income ~~
## BMI -1.101 0.068 -16.291 0.000
## Source.BL -0.043 0.005 -8.414 0.000
## White 0.010 0.002 4.436 0.000
## Smoking -0.293 0.016 -18.418 0.000
## Alcohol 0.648 0.024 26.641 0.000
## Depression -1.416 0.056 -25.251 0.000
## Age_BL -0.137 0.006 -23.605 0.000
## Language_BL -0.060 0.004 -14.900 0.000
## Language_FU1 -0.060 0.004 -14.701 0.000
## Materil_dprvtn -0.144 0.004 -32.412 0.000
## Social_deprvtn -0.148 0.005 -32.544 0.000
## Physical_ctvty 0.131 0.009 14.181 0.000
## BMI ~~
## Source.BL -0.096 0.028 -3.468 0.001
## White 0.043 0.012 3.554 0.000
## Smoking 0.201 0.085 2.359 0.018
## Alcohol -3.020 0.131 -23.134 0.000
## Depression 3.862 0.297 12.997 0.000
## Age_BL 0.258 0.031 8.364 0.000
## Language_BL -0.113 0.022 -5.196 0.000
## Language_FU1 -0.115 0.022 -5.256 0.000
## Materil_dprvtn 0.339 0.023 14.513 0.000
## Social_deprvtn 0.216 0.024 9.134 0.000
## Physical_ctvty -0.874 0.050 -17.466 0.000
## Source.BL ~~
## White 0.003 0.001 2.809 0.005
## Smoking 0.033 0.006 5.013 0.000
## Alcohol -0.084 0.010 -8.568 0.000
## Depression 0.020 0.022 0.889 0.374
## Age_BL -0.006 0.002 -2.461 0.014
## Language_BL -0.005 0.002 -3.238 0.001
## Language_FU1 -0.005 0.002 -2.793 0.005
## Materil_dprvtn 0.030 0.002 17.002 0.000
## Social_deprvtn -0.000 0.002 -0.179 0.858
## Physical_ctvty -0.004 0.004 -1.078 0.281
## White ~~
## Smoking 0.032 0.003 11.416 0.000
## Alcohol 0.058 0.004 13.048 0.000
## Depression -0.038 0.010 -3.837 0.000
## Age_BL 0.005 0.001 5.303 0.000
## Language_BL 0.003 0.001 4.025 0.000
## Language_FU1 0.003 0.001 4.494 0.000
## Materil_dprvtn -0.003 0.001 -4.002 0.000
## Social_deprvtn 0.002 0.001 2.631 0.009
## Physical_ctvty -0.000 0.002 -0.277 0.782
## Smoking ~~
## Alcohol 0.093 0.030 3.076 0.002
## Depression 0.941 0.070 13.472 0.000
## Age_BL -0.010 0.007 -1.316 0.188
## Language_BL 0.054 0.005 10.390 0.000
## Language_FU1 0.056 0.005 10.811 0.000
## Materil_dprvtn 0.078 0.005 14.307 0.000
## Social_deprvtn 0.084 0.006 15.102 0.000
## Physical_ctvty -0.063 0.012 -5.344 0.000
## Alcohol ~~
## Depression -1.460 0.105 -13.879 0.000
## Age_BL 0.006 0.011 0.556 0.578
## Language_BL 0.064 0.008 8.290 0.000
## Language_FU1 0.067 0.008 8.751 0.000
## Materil_dprvtn -0.152 0.008 -18.350 0.000
## Social_deprvtn -0.067 0.008 -8.037 0.000
## Physical_ctvty 0.137 0.018 7.794 0.000
## Depression ~~
## Age_BL -0.039 0.025 -1.554 0.120
## Language_BL 0.044 0.018 2.464 0.014
## Language_FU1 0.042 0.018 2.335 0.020
## Materil_dprvtn 0.228 0.019 12.018 0.000
## Social_deprvtn 0.218 0.019 11.295 0.000
## Physical_ctvty -0.520 0.041 -12.692 0.000
## Age_BL ~~
## Language_BL -0.000 0.002 -0.088 0.930
## Language_FU1 -0.000 0.002 -0.269 0.788
## Materil_dprvtn -0.001 0.002 -0.437 0.662
## Social_deprvtn 0.011 0.002 5.516 0.000
## Physical_ctvty -0.077 0.004 -18.121 0.000
## Language_BL ~~
## Language_FU1 0.142 0.002 77.176 0.000
## Materil_dprvtn 0.026 0.001 18.345 0.000
## Social_deprvtn 0.023 0.001 15.882 0.000
## Physical_ctvty -0.013 0.003 -4.231 0.000
## Language_FU1 ~~
## Materil_dprvtn 0.026 0.001 18.155 0.000
## Social_deprvtn 0.023 0.001 15.821 0.000
## Physical_ctvty -0.013 0.003 -4.343 0.000
## Material_deprivation ~~
## Social_deprvtn 0.016 0.001 10.897 0.000
## Physical_ctvty -0.016 0.003 -5.000 0.000
## Social_deprivation ~~
## Physical_ctvty -0.023 0.003 -7.171 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 10.492 11.955 11.223 0.465 0.150
##
## 19.929 22.385 21.157 0.496 0.178
##
## 0.508 0.611 0.559 0.229 0.255
##
## 0.122 0.348 0.158 0.158 0.252
##
## 0.841 1.128 0.204 0.204 0.240
## 1.489 1.767 0.325 0.325 0.053
##
## 0.136 0.346 0.169 0.169 0.252
##
## -0.586 -0.449 -0.518 -0.140 0.058
## -0.457 -0.382 -0.419 -0.212 0.094
## 2.789 3.204 2.996 0.275 0.073
## -0.020 0.010 -0.005 -0.006 0.042
## -0.003 0.011 0.004 0.011 0.055
## 0.148 0.241 0.194 0.076 0.057
## -0.664 -0.521 -0.593 -0.156 0.081
## 2.017 2.353 2.185 0.246 0.070
## 0.206 0.241 0.223 0.240 0.048
## -0.026 -0.002 -0.014 -0.021 0.058
## -0.026 -0.002 -0.014 -0.021 0.066
## 0.060 0.085 0.072 0.106 0.088
## 0.057 0.083 0.070 0.100 0.084
## -0.259 -0.204 -0.231 -0.162 0.140
##
## 0.778 0.871 0.825 0.336 0.038
## -2.173 -1.687 -1.930 -0.143 0.006
## -0.133 -0.096 -0.114 -0.110 0.001
## -0.028 -0.012 -0.020 -0.044 0.003
## -0.806 -0.689 -0.747 -0.234 0.006
## 0.699 0.872 0.785 0.166 0.031
## -1.502 -1.107 -1.304 -0.118 0.005
## -0.125 -0.084 -0.104 -0.090 0.001
## -0.060 -0.031 -0.046 -0.056 0.002
## -0.060 -0.031 -0.045 -0.056 0.010
## -0.245 -0.213 -0.229 -0.268 0.030
## -0.091 -0.060 -0.076 -0.087 0.035
## 0.127 0.194 0.161 0.091 0.099
##
## -1.234 -0.969 -1.101 -0.153 0.049
## -0.053 -0.033 -0.043 -0.078 0.039
## 0.006 0.014 0.010 0.041 0.056
## -0.324 -0.262 -0.293 -0.173 0.042
## 0.600 0.695 0.648 0.257 0.063
## -1.526 -1.306 -1.416 -0.241 0.049
## -0.148 -0.126 -0.137 -0.223 0.036
## -0.068 -0.052 -0.060 -0.139 0.038
## -0.068 -0.052 -0.060 -0.137 0.043
## -0.153 -0.135 -0.144 -0.317 0.062
## -0.156 -0.139 -0.148 -0.320 0.067
## 0.113 0.149 0.131 0.138 0.126
##
## -0.150 -0.042 -0.096 -0.031 0.007
## 0.019 0.066 0.043 0.032 0.009
## 0.034 0.368 0.201 0.021 0.010
## -3.276 -2.764 -3.020 -0.217 0.028
## 3.279 4.444 3.862 0.119 0.012
## 0.198 0.319 0.258 0.076 0.007
## -0.156 -0.071 -0.113 -0.047 0.007
## -0.158 -0.072 -0.115 -0.048 0.013
## 0.293 0.385 0.339 0.135 0.043
## 0.169 0.262 0.216 0.085 0.045
## -0.972 -0.776 -0.874 -0.168 0.088
##
## 0.001 0.004 0.003 0.025 -0.000
## 0.020 0.045 0.033 0.045 0.004
## -0.103 -0.064 -0.084 -0.079 0.023
## -0.024 0.064 0.020 0.008 0.002
## -0.010 -0.001 -0.006 -0.022 -0.000
## -0.009 -0.002 -0.005 -0.029 -0.000
## -0.008 -0.001 -0.005 -0.025 0.007
## 0.027 0.034 0.030 0.158 0.034
## -0.004 0.003 -0.000 -0.002 0.038
## -0.012 0.003 -0.004 -0.010 0.097
##
## 0.027 0.038 0.032 0.104 0.005
## 0.049 0.067 0.058 0.126 0.107
## -0.057 -0.018 -0.038 -0.035 0.008
## 0.003 0.007 0.005 0.048 -0.000
## 0.001 0.004 0.003 0.036 -0.000
## 0.002 0.005 0.003 0.041 0.009
## -0.005 -0.002 -0.003 -0.037 0.033
## 0.001 0.004 0.002 0.024 0.036
## -0.004 0.003 -0.000 -0.003 0.114
##
## 0.034 0.151 0.093 0.028 0.028
## 0.804 1.078 0.941 0.123 0.007
## -0.024 0.005 -0.010 -0.012 0.004
## 0.043 0.064 0.054 0.095 0.004
## 0.046 0.066 0.056 0.099 0.012
## 0.068 0.089 0.078 0.133 0.038
## 0.073 0.095 0.084 0.141 0.041
## -0.086 -0.040 -0.063 -0.051 0.111
##
## -1.667 -1.254 -1.460 -0.129 0.033
## -0.015 0.027 0.006 0.005 0.024
## 0.049 0.079 0.064 0.076 0.018
## 0.052 0.083 0.067 0.080 0.023
## -0.168 -0.136 -0.152 -0.174 0.059
## -0.083 -0.051 -0.067 -0.075 0.061
## 0.102 0.171 0.137 0.075 0.109
##
## -0.088 0.010 -0.039 -0.014 0.003
## 0.009 0.079 0.044 0.022 0.003
## 0.007 0.076 0.042 0.021 0.011
## 0.190 0.265 0.228 0.111 0.037
## 0.180 0.255 0.218 0.105 0.041
## -0.600 -0.440 -0.520 -0.122 0.105
##
## -0.004 0.003 -0.000 -0.001 -0.000
## -0.004 0.003 -0.000 -0.002 0.005
## -0.005 0.003 -0.001 -0.004 0.032
## 0.007 0.015 0.011 0.051 0.035
## -0.085 -0.069 -0.077 -0.173 0.079
##
## 0.138 0.145 0.142 0.976 0.002
## 0.023 0.029 0.026 0.171 0.029
## 0.020 0.025 0.023 0.147 0.031
## -0.018 -0.007 -0.013 -0.040 0.071
##
## 0.023 0.028 0.026 0.169 0.035
## 0.020 0.025 0.023 0.147 0.036
## -0.019 -0.007 -0.013 -0.041 0.075
##
## 0.013 0.019 0.016 0.101 0.038
## -0.022 -0.010 -0.016 -0.048 0.122
##
## -0.029 -0.017 -0.023 -0.069 0.104
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e3) 21.640 0.321 67.418 0.000 21.011 22.269
## .MEM_BL (f3) 5.122 0.099 51.649 0.000 4.928 5.316
## .EF_DELTA (l3) 6.220 0.478 13.004 0.000 5.282 7.157
## .MEM_DELTA (n3) 4.109 0.117 35.268 0.000 3.881 4.338
## Mltmrbdty 1.935 0.016 120.764 0.000 1.904 1.966
## Education 0.403 0.019 20.729 0.000 0.365 0.441
## Income 0.289 0.011 27.435 0.000 0.269 0.310
## BMI 27.762 0.057 485.554 0.000 27.650 27.874
## Source.BL 1.366 0.004 313.651 0.000 1.357 1.374
## White 0.454 0.002 239.407 0.000 0.450 0.458
## Smoking 0.446 0.013 33.101 0.000 0.419 0.472
## Alcohol -0.610 0.020 -30.211 0.000 -0.649 -0.570
## Depressin 0.882 0.047 18.944 0.000 0.791 0.973
## Age_BL 0.000 0.005 0.000 1.000 -0.010 0.010
## Langug_BL 1.177 0.003 341.263 0.000 1.170 1.183
## Langg_FU1 1.176 0.003 340.631 0.000 1.169 1.183
## Mtrl_dprv 0.033 0.004 9.108 0.000 0.026 0.040
## Scl_dprvt 0.026 0.004 6.896 0.000 0.018 0.033
## Physcl_ct 0.082 0.008 10.442 0.000 0.066 0.097
## Std.lv Std.all FMI
## 5.588 5.588 0.036
## 3.280 3.280 0.040
## 1.966 1.966 0.253
## 2.442 2.442 0.214
## 1.935 1.121 0.052
## 0.403 0.188 0.001
## 0.289 0.253 0.039
## 27.762 4.402 0.006
## 1.366 2.836 -0.000
## 0.454 2.164 -0.000
## 0.446 0.300 0.004
## -0.610 -0.276 0.023
## 0.882 0.171 0.002
## 0.000 0.000 -0.000
## 1.177 3.085 -0.000
## 1.176 3.089 0.006
## 0.033 0.084 0.031
## 0.026 0.063 0.034
## 0.082 0.099 0.083
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g3) 10.968 0.349 31.459 0.000 10.285 11.652
## .MEM_BL (h3) 2.293 0.031 72.872 0.000 2.231 2.355
## Vr_F_C.BL (i3) 24.129 0.364 66.309 0.000 23.416 24.842
## V_F_C.FU1 (i3) 24.129 0.364 66.309 0.000 23.416 24.842
## .MAT_Sc.BL (j3) 42.692 0.598 71.403 0.000 41.520 43.864
## .MAT_S.FU1 (j3) 42.692 0.598 71.403 0.000 41.520 43.864
## COG_REYII (k3) 2.446 0.024 100.723 0.000 2.399 2.494
## COG_REYII (k3) 2.446 0.024 100.723 0.000 2.399 2.494
## .EF_DELTA (m3) 0.960 0.233 4.117 0.000 0.503 1.417
## .MEM_DELTA (o3) 2.116 0.032 66.986 0.000 2.054 2.177
## Mltmrbdty 2.979 0.039 75.495 0.000 2.902 3.056
## Education 4.613 0.059 78.140 0.000 4.497 4.728
## Income 1.307 0.017 76.124 0.000 1.273 1.340
## BMI 39.769 0.511 77.878 0.000 38.768 40.770
## Source.BL 0.232 0.003 78.211 0.000 0.226 0.238
## White 0.044 0.001 78.211 0.000 0.043 0.045
## Smoking 2.208 0.028 78.038 0.000 2.153 2.264
## Alcohol 4.868 0.063 76.912 0.000 4.744 4.992
## Depressin 26.466 0.339 78.113 0.000 25.802 27.130
## Age_BL 0.290 0.004 78.211 0.000 0.282 0.297
## Langug_BL 0.145 0.002 78.211 0.000 0.142 0.149
## Langg_FU1 0.145 0.002 77.836 0.000 0.141 0.149
## Mtrl_dprv 0.158 0.002 76.681 0.000 0.154 0.162
## Scl_dprvt 0.163 0.002 76.680 0.000 0.159 0.167
## Physcl_ct 0.683 0.009 74.691 0.000 0.665 0.701
## Std.lv Std.all FMI
## 0.731 0.731 0.052
## 0.941 0.941 0.053
## 24.129 0.617 0.092
## 24.129 0.707 0.092
## 42.692 0.662 0.086
## 42.692 0.746 0.086
## 2.446 0.501 0.125
## 2.446 0.463 0.125
## 0.096 0.096 0.257
## 0.747 0.747 0.202
## 2.979 1.000 0.068
## 4.613 1.000 0.002
## 1.307 1.000 0.053
## 39.769 1.000 0.009
## 0.232 1.000 -0.000
## 0.044 1.000 -0.000
## 2.208 1.000 0.004
## 4.868 1.000 0.033
## 26.466 1.000 0.003
## 0.290 1.000 -0.000
## 0.145 1.000 -0.000
## 0.145 1.000 0.010
## 0.158 1.000 0.039
## 0.163 1.000 0.039
## 0.683 1.000 0.088
##
##
## Group 4 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b4) 1.278 0.005 273.607 0.000 1.269 1.287
## EF_FU1 =~
## MAT_S.FU1 (b4) 1.278 0.005 273.607 0.000 1.269 1.287
## MEM_BL =~
## COG_REYI_ (d4) 1.599 0.007 244.708 0.000 1.587 1.612
## MEM_FU1 =~
## COG_REYI_ (d4) 1.599 0.007 244.708 0.000 1.587 1.612
## Std.lv Std.all FMI
##
## 5.139 0.589 0.090
##
## 4.837 0.565 0.090
##
## 1.909 1.000 0.132
##
## 2.036 1.000 0.132
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL 0.834 0.025 33.262 0.000 0.785 0.883
## MEM_DELTA ~
## MEM_BL 0.424 0.012 34.970 0.000 0.400 0.448
## EF_DELTA ~
## Mltmrbd -0.052 0.026 -2.014 0.044 -0.102 -0.001
## Educatn 0.035 0.023 1.552 0.121 -0.009 0.080
## Income -0.016 0.055 -0.281 0.779 -0.124 0.093
## BMI 0.032 0.011 2.827 0.005 0.010 0.054
## Sorc.BL -0.486 0.097 -4.989 0.000 -0.677 -0.295
## White -0.065 0.238 -0.275 0.783 -0.531 0.400
## Smoking -0.011 0.041 -0.256 0.798 -0.091 0.070
## Alcohol 0.020 0.020 1.040 0.298 -0.018 0.059
## Deprssn -0.001 0.012 -0.123 0.902 -0.025 0.022
## EF_BL ~
## Mltmrbd 0.002 0.029 0.085 0.933 -0.054 0.059
## Educatn 0.478 0.022 21.515 0.000 0.435 0.522
## Income 0.543 0.064 8.466 0.000 0.417 0.668
## BMI -0.009 0.013 -0.701 0.483 -0.034 0.016
## Sorc.BL -0.096 0.113 -0.853 0.394 -0.317 0.125
## White 2.315 0.261 8.878 0.000 1.804 2.826
## Smoking -0.089 0.047 -1.900 0.057 -0.181 0.003
## Alcohol 0.170 0.022 7.719 0.000 0.127 0.214
## Deprssn -0.065 0.013 -4.867 0.000 -0.091 -0.039
## Age_BL -2.198 0.097 -22.610 0.000 -2.389 -2.008
## Lngg_BL -1.488 0.146 -10.216 0.000 -1.773 -1.202
## EF_DELTA ~
## Age_BL -0.554 0.100 -5.526 0.000 -0.750 -0.357
## Lng_FU1 0.039 0.131 0.300 0.764 -0.217 0.296
## EF_BL ~
## Mtrl_dp (c111) -0.366 0.146 -2.506 0.012 -0.652 -0.080
## Scl_dpr (c121) 0.145 0.132 1.094 0.274 -0.115 0.404
## Physcl_ (b11d) 0.240 0.084 2.842 0.004 0.074 0.405
## EF_DELTA ~
## Mtrl_dp (c211) 0.041 0.129 0.321 0.749 -0.212 0.294
## Scl_dpr (c221) 0.020 0.115 0.169 0.866 -0.207 0.246
## Physcl_ (b21d) 0.246 0.070 3.488 0.000 0.108 0.384
## MEM_DELTA ~
## Mltmrbd -0.003 0.008 -0.420 0.674 -0.018 0.012
## Educatn 0.034 0.006 5.893 0.000 0.023 0.045
## Income 0.079 0.016 4.918 0.000 0.048 0.111
## BMI 0.006 0.003 1.755 0.079 -0.001 0.012
## Sorc.BL -0.250 0.029 -8.689 0.000 -0.307 -0.194
## White 0.049 0.068 0.718 0.473 -0.085 0.183
## Smoking -0.022 0.012 -1.822 0.068 -0.046 0.002
## Alcohol 0.017 0.006 2.998 0.003 0.006 0.028
## Deprssn -0.003 0.003 -0.817 0.414 -0.010 0.004
## MEM_BL ~
## Mltmrbd -0.001 0.007 -0.098 0.922 -0.014 0.013
## Educatn 0.062 0.005 11.984 0.000 0.052 0.072
## Income 0.099 0.015 6.607 0.000 0.070 0.128
## BMI 0.003 0.003 0.881 0.378 -0.003 0.009
## Sorc.BL 0.108 0.026 4.129 0.000 0.056 0.159
## White 0.259 0.061 4.248 0.000 0.140 0.379
## Smoking -0.026 0.011 -2.378 0.017 -0.047 -0.005
## Alcohol 0.029 0.005 5.620 0.000 0.019 0.039
## Deprssn -0.016 0.003 -5.128 0.000 -0.022 -0.010
## Age_BL -0.513 0.023 -22.496 0.000 -0.557 -0.468
## Lngg_BL -0.153 0.034 -4.509 0.000 -0.219 -0.086
## MEM_DELTA ~
## Age_BL -0.399 0.026 -15.501 0.000 -0.450 -0.349
## Lng_FU1 0.057 0.037 1.517 0.129 -0.017 0.130
## MEM_BL ~
## Mtrl_dp (c122) -0.018 0.024 -0.780 0.436 -0.065 0.028
## Scl_dpr (c122) -0.018 0.024 -0.780 0.436 -0.065 0.028
## Physcl_ (b12d) 0.079 0.020 4.026 0.000 0.041 0.118
## MEM_DELTA ~
## Mtrl_dp (c212) 0.008 0.038 0.218 0.827 -0.066 0.083
## Scl_dpr (c222) 0.038 0.034 1.120 0.263 -0.029 0.106
## Physcl_ (b22d) 0.095 0.021 4.557 0.000 0.054 0.136
## Std.lv Std.all FMI
##
## 0.886 0.886 0.321
##
## 0.397 0.397 0.295
##
## -0.014 -0.027 0.395
## 0.009 0.025 0.314
## -0.004 -0.004 0.299
## 0.008 0.036 0.314
## -0.129 -0.061 0.303
## -0.017 -0.004 0.336
## -0.003 -0.003 0.321
## 0.005 0.013 0.319
## -0.000 -0.002 0.335
##
## 0.001 0.001 0.135
## 0.119 0.314 0.058
## 0.135 0.130 0.099
## -0.002 -0.010 0.058
## -0.024 -0.011 0.049
## 0.576 0.117 0.054
## -0.022 -0.025 0.051
## 0.042 0.105 0.064
## -0.016 -0.066 0.065
## -0.547 -0.314 0.050
## -0.370 -0.135 0.038
##
## -0.146 -0.084 0.305
## 0.010 0.004 0.292
##
## -0.091 -0.036 0.093
## 0.036 0.015 0.087
## 0.060 0.041 0.144
##
## 0.011 0.004 0.335
## 0.005 0.002 0.319
## 0.065 0.045 0.325
##
## -0.002 -0.005 0.363
## 0.027 0.071 0.294
## 0.062 0.060 0.290
## 0.005 0.020 0.291
## -0.197 -0.094 0.275
## 0.038 0.008 0.312
## -0.018 -0.020 0.308
## 0.014 0.033 0.309
## -0.002 -0.009 0.313
##
## -0.001 -0.001 0.130
## 0.052 0.136 0.061
## 0.083 0.080 0.105
## 0.002 0.010 0.071
## 0.090 0.043 0.058
## 0.217 0.044 0.064
## -0.022 -0.025 0.052
## 0.024 0.060 0.076
## -0.013 -0.054 0.070
## -0.430 -0.247 0.058
## -0.128 -0.047 0.033
##
## -0.314 -0.180 0.284
## 0.044 0.016 0.266
##
## -0.015 -0.006 0.091
## -0.015 -0.006 0.091
## 0.067 0.046 0.156
##
## 0.007 0.003 0.313
## 0.030 0.012 0.304
## 0.075 0.052 0.306
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 9.422 0.420 22.419 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 27.289 0.868 31.422 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.605 0.029 21.026 0.000
## .MEM_BL ~~
## .EF_DELTA 0.122 0.054 2.258 0.024
## .EF_BL ~~
## .MEM_DELTA 0.646 0.062 10.347 0.000
## .MEM_BL 1.397 0.060 23.150 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.329 0.050 6.601 0.000
## Multimorbidity ~~
## Education -0.522 0.060 -8.737 0.000
## Income -0.187 0.022 -8.395 0.000
## BMI 1.577 0.098 16.170 0.000
## Source.BL 0.028 0.011 2.669 0.008
## White 0.003 0.005 0.665 0.506
## Smoking 0.207 0.026 7.991 0.000
## Alcohol -0.471 0.056 -8.378 0.000
## Depression 1.674 0.094 17.815 0.000
## Age_BL 0.196 0.013 15.078 0.000
## Language_BL -0.003 0.008 -0.313 0.754
## Language_FU1 -0.002 0.008 -0.270 0.788
## Materil_dprvtn 0.046 0.009 5.096 0.000
## Social_deprvtn 0.044 0.009 4.735 0.000
## Physical_ctvty -0.277 0.017 -16.637 0.000
## Education ~~
## Income 0.938 0.030 31.644 0.000
## BMI -1.234 0.121 -10.176 0.000
## Source.BL -0.150 0.014 -11.047 0.000
## White -0.029 0.006 -5.126 0.000
## Smoking -0.560 0.033 -16.957 0.000
## Alcohol 1.062 0.071 14.850 0.000
## Depression -0.944 0.115 -8.207 0.000
## Age_BL -0.155 0.016 -9.565 0.000
## Language_BL -0.062 0.010 -5.980 0.000
## Language_FU1 -0.061 0.010 -5.926 0.000
## Materil_dprvtn -0.296 0.012 -24.944 0.000
## Social_deprvtn -0.090 0.012 -7.533 0.000
## Physical_ctvty 0.128 0.021 6.158 0.000
## Income ~~
## BMI -0.090 0.045 -1.993 0.046
## Source.BL -0.053 0.005 -10.495 0.000
## White 0.011 0.002 5.006 0.000
## Smoking -0.130 0.012 -10.627 0.000
## Alcohol 0.484 0.027 18.025 0.000
## Depression -0.642 0.043 -14.782 0.000
## Age_BL -0.052 0.006 -8.596 0.000
## Language_BL -0.048 0.004 -12.384 0.000
## Language_FU1 -0.048 0.004 -12.355 0.000
## Materil_dprvtn -0.125 0.004 -27.832 0.000
## Social_deprvtn -0.089 0.005 -19.677 0.000
## Physical_ctvty 0.086 0.008 11.157 0.000
## BMI ~~
## Source.BL -0.221 0.022 -10.084 0.000
## White 0.063 0.009 6.837 0.000
## Smoking 0.217 0.053 4.118 0.000
## Alcohol -0.756 0.114 -6.609 0.000
## Depression 0.527 0.185 2.841 0.004
## Age_BL -0.345 0.026 -13.062 0.000
## Language_BL 0.011 0.017 0.668 0.504
## Language_FU1 0.007 0.017 0.438 0.661
## Materil_dprvtn 0.100 0.019 5.379 0.000
## Social_deprvtn 0.038 0.019 1.986 0.047
## Physical_ctvty -0.281 0.034 -8.382 0.000
## Source.BL ~~
## White 0.001 0.001 0.609 0.542
## Smoking 0.024 0.006 4.095 0.000
## Alcohol -0.074 0.013 -5.837 0.000
## Depression 0.073 0.021 3.515 0.000
## Age_BL 0.017 0.003 5.713 0.000
## Language_BL -0.003 0.002 -1.390 0.165
## Language_FU1 -0.002 0.002 -0.816 0.415
## Materil_dprvtn 0.041 0.002 19.407 0.000
## Social_deprvtn 0.000 0.002 0.025 0.980
## Physical_ctvty -0.014 0.004 -3.766 0.000
## White ~~
## Smoking 0.013 0.002 5.249 0.000
## Alcohol 0.048 0.006 8.590 0.000
## Depression -0.017 0.009 -1.903 0.057
## Age_BL 0.002 0.001 1.882 0.060
## Language_BL 0.005 0.001 6.069 0.000
## Language_FU1 0.005 0.001 6.160 0.000
## Materil_dprvtn -0.003 0.001 -2.889 0.004
## Social_deprvtn 0.003 0.001 3.151 0.002
## Physical_ctvty 0.002 0.002 1.063 0.288
## Smoking ~~
## Alcohol 0.097 0.031 3.160 0.002
## Depression 0.353 0.050 7.058 0.000
## Age_BL -0.032 0.007 -4.555 0.000
## Language_BL 0.029 0.004 6.552 0.000
## Language_FU1 0.030 0.005 6.649 0.000
## Materil_dprvtn 0.049 0.005 9.884 0.000
## Social_deprvtn 0.050 0.005 9.738 0.000
## Physical_ctvty -0.066 0.009 -7.351 0.000
## Alcohol ~~
## Depression -0.602 0.108 -5.550 0.000
## Age_BL -0.047 0.015 -3.101 0.002
## Language_BL 0.033 0.010 3.420 0.001
## Language_FU1 0.034 0.010 3.504 0.000
## Materil_dprvtn -0.151 0.011 -13.848 0.000
## Social_deprvtn -0.066 0.011 -5.904 0.000
## Physical_ctvty 0.138 0.019 7.092 0.000
## Depression ~~
## Age_BL 0.102 0.025 4.091 0.000
## Language_BL 0.024 0.016 1.516 0.130
## Language_FU1 0.029 0.016 1.807 0.071
## Materil_dprvtn 0.097 0.018 5.542 0.000
## Social_deprvtn 0.134 0.018 7.361 0.000
## Physical_ctvty -0.341 0.032 -10.634 0.000
## Age_BL ~~
## Language_BL -0.003 0.002 -1.395 0.163
## Language_FU1 -0.003 0.002 -1.209 0.227
## Materil_dprvtn -0.004 0.002 -1.789 0.074
## Social_deprvtn 0.012 0.003 4.595 0.000
## Physical_ctvty -0.100 0.005 -21.820 0.000
## Language_BL ~~
## Language_FU1 0.130 0.002 65.548 0.000
## Materil_dprvtn 0.024 0.002 15.004 0.000
## Social_deprvtn 0.023 0.002 13.736 0.000
## Physical_ctvty -0.003 0.003 -1.111 0.266
## Language_FU1 ~~
## Materil_dprvtn 0.024 0.002 14.699 0.000
## Social_deprvtn 0.022 0.002 13.351 0.000
## Physical_ctvty -0.003 0.003 -1.098 0.272
## Material_deprivation ~~
## Social_deprvtn 0.011 0.002 5.929 0.000
## Physical_ctvty -0.008 0.003 -2.644 0.008
## Social_deprivation ~~
## Physical_ctvty -0.030 0.003 -9.154 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 8.598 10.246 9.422 0.437 0.184
##
## 25.587 28.991 27.289 0.548 0.199
##
## 0.549 0.661 0.605 0.273 0.289
##
## 0.016 0.228 0.098 0.098 0.308
##
## 0.524 0.769 0.193 0.193 0.305
## 1.279 1.515 0.399 0.399 0.070
##
## 0.232 0.427 0.276 0.276 0.329
##
## -0.640 -0.405 -0.522 -0.098 0.102
## -0.231 -0.143 -0.187 -0.096 0.136
## 1.386 1.768 1.577 0.184 0.094
## 0.008 0.049 0.028 0.029 0.069
## -0.006 0.012 0.003 0.007 0.095
## 0.156 0.258 0.207 0.090 0.097
## -0.581 -0.361 -0.471 -0.095 0.109
## 1.490 1.858 1.674 0.206 0.116
## 0.170 0.221 0.196 0.170 0.082
## -0.019 0.013 -0.003 -0.003 0.084
## -0.018 0.014 -0.002 -0.003 0.095
## 0.028 0.064 0.046 0.058 0.111
## 0.026 0.063 0.044 0.054 0.124
## -0.309 -0.244 -0.277 -0.199 0.179
##
## 0.880 0.996 0.938 0.367 0.048
## -1.472 -0.997 -1.234 -0.109 0.006
## -0.176 -0.123 -0.150 -0.119 0.004
## -0.041 -0.018 -0.029 -0.055 0.008
## -0.625 -0.495 -0.560 -0.184 0.012
## 0.922 1.202 1.062 0.162 0.030
## -1.170 -0.719 -0.944 -0.088 0.013
## -0.187 -0.124 -0.155 -0.102 0.004
## -0.082 -0.041 -0.062 -0.064 0.005
## -0.082 -0.041 -0.061 -0.064 0.018
## -0.319 -0.273 -0.296 -0.282 0.045
## -0.113 -0.066 -0.090 -0.083 0.053
## 0.087 0.168 0.128 0.070 0.116
##
## -0.179 -0.001 -0.090 -0.022 0.056
## -0.063 -0.043 -0.053 -0.115 0.045
## 0.006 0.015 0.011 0.055 0.044
## -0.154 -0.106 -0.130 -0.117 0.059
## 0.431 0.537 0.484 0.203 0.068
## -0.727 -0.557 -0.642 -0.164 0.056
## -0.064 -0.040 -0.052 -0.094 0.049
## -0.056 -0.040 -0.048 -0.136 0.042
## -0.056 -0.040 -0.048 -0.136 0.051
## -0.133 -0.116 -0.125 -0.325 0.082
## -0.098 -0.080 -0.089 -0.224 0.086
## 0.071 0.101 0.086 0.129 0.139
##
## -0.264 -0.178 -0.221 -0.108 0.003
## 0.045 0.081 0.063 0.073 0.000
## 0.113 0.320 0.217 0.044 0.010
## -0.981 -0.532 -0.756 -0.071 0.028
## 0.163 0.890 0.527 0.030 0.010
## -0.397 -0.293 -0.345 -0.140 0.003
## -0.022 0.044 0.011 0.007 0.003
## -0.025 0.040 0.007 0.005 0.014
## 0.063 0.136 0.100 0.059 0.046
## 0.001 0.076 0.038 0.022 0.051
## -0.347 -0.216 -0.281 -0.095 0.111
##
## -0.001 0.003 0.001 0.006 -0.000
## 0.013 0.036 0.024 0.044 0.007
## -0.100 -0.049 -0.074 -0.063 0.024
## 0.032 0.113 0.073 0.038 0.007
## 0.011 0.022 0.017 0.061 -0.000
## -0.006 0.001 -0.003 -0.015 -0.000
## -0.005 0.002 -0.002 -0.009 0.013
## 0.037 0.045 0.041 0.215 0.040
## -0.004 0.004 0.000 0.000 0.047
## -0.021 -0.007 -0.014 -0.042 0.108
##
## 0.008 0.018 0.013 0.056 0.005
## 0.037 0.059 0.048 0.095 0.074
## -0.034 0.001 -0.017 -0.020 0.017
## -0.000 0.005 0.002 0.020 -0.000
## 0.003 0.006 0.005 0.065 -0.000
## 0.003 0.006 0.005 0.066 0.012
## -0.004 -0.001 -0.003 -0.031 0.035
## 0.001 0.005 0.003 0.034 0.039
## -0.001 0.005 0.002 0.012 0.121
##
## 0.037 0.158 0.097 0.034 0.034
## 0.255 0.451 0.353 0.076 0.013
## -0.046 -0.018 -0.032 -0.049 0.008
## 0.021 0.038 0.029 0.070 0.007
## 0.021 0.039 0.030 0.072 0.019
## 0.039 0.059 0.049 0.108 0.042
## 0.040 0.060 0.050 0.107 0.046
## -0.084 -0.049 -0.066 -0.083 0.115
##
## -0.815 -0.389 -0.602 -0.060 0.031
## -0.077 -0.017 -0.047 -0.033 0.022
## 0.014 0.052 0.033 0.037 0.013
## 0.015 0.053 0.034 0.038 0.024
## -0.172 -0.130 -0.151 -0.154 0.062
## -0.088 -0.044 -0.066 -0.065 0.067
## 0.100 0.176 0.138 0.081 0.121
##
## 0.053 0.151 0.102 0.044 0.009
## -0.007 0.055 0.024 0.016 0.005
## -0.002 0.060 0.029 0.019 0.017
## 0.063 0.132 0.097 0.060 0.047
## 0.098 0.169 0.134 0.080 0.048
## -0.404 -0.278 -0.341 -0.121 0.120
##
## -0.007 0.001 -0.003 -0.015 -0.000
## -0.007 0.002 -0.003 -0.013 0.011
## -0.009 0.000 -0.004 -0.019 0.042
## 0.007 0.017 0.012 0.050 0.047
## -0.109 -0.091 -0.100 -0.251 0.093
##
## 0.126 0.134 0.130 0.977 0.005
## 0.021 0.027 0.024 0.165 0.044
## 0.019 0.026 0.023 0.152 0.050
## -0.009 0.002 -0.003 -0.012 0.090
##
## 0.020 0.027 0.024 0.163 0.055
## 0.019 0.025 0.022 0.148 0.058
## -0.009 0.002 -0.003 -0.012 0.096
##
## 0.007 0.014 0.011 0.065 0.048
## -0.015 -0.002 -0.008 -0.030 0.141
##
## -0.036 -0.023 -0.030 -0.105 0.127
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e4) 20.855 0.446 46.730 0.000 19.980 21.729
## .MEM_BL (f4) 2.905 0.104 27.813 0.000 2.700 3.109
## .EF_DELTA (l4) 2.408 0.650 3.704 0.000 1.134 3.682
## .MEM_DELTA (n4) 1.912 0.120 15.944 0.000 1.677 2.147
## Mltmrbdty 2.893 0.022 129.444 0.000 2.849 2.936
## Education -0.829 0.028 -29.455 0.000 -0.884 -0.774
## Income -0.075 0.011 -7.099 0.000 -0.095 -0.054
## BMI 27.627 0.046 606.252 0.000 27.537 27.716
## Source.BL 1.354 0.005 266.289 0.000 1.344 1.364
## White 0.457 0.002 211.979 0.000 0.453 0.461
## Smoking -0.471 0.012 -38.384 0.000 -0.495 -0.447
## Alcohol -0.865 0.027 -32.519 0.000 -0.917 -0.813
## Depressin 0.580 0.043 13.402 0.000 0.495 0.664
## Age_BL 0.000 0.006 0.000 1.000 -0.012 0.012
## Langug_BL 1.159 0.004 298.102 0.000 1.151 1.167
## Langg_FU1 1.158 0.004 297.371 0.000 1.150 1.165
## Mtrl_dprv 0.027 0.004 6.326 0.000 0.019 0.036
## Scl_dprvt 0.039 0.004 8.680 0.000 0.030 0.047
## Physcl_ct 0.031 0.008 3.993 0.000 0.016 0.046
## Std.lv Std.all FMI
## 5.187 5.187 0.054
## 2.434 2.434 0.060
## 0.636 0.636 0.319
## 1.503 1.503 0.288
## 2.893 1.441 0.088
## -0.829 -0.314 0.004
## -0.075 -0.077 0.047
## 27.627 6.457 0.003
## 1.354 2.831 -0.000
## 0.457 2.254 -0.000
## -0.471 -0.410 0.007
## -0.865 -0.350 0.022
## 0.580 0.143 0.007
## 0.000 0.000 -0.000
## 1.159 3.170 -0.000
## 1.158 3.179 0.010
## 0.027 0.069 0.039
## 0.039 0.094 0.044
## 0.031 0.045 0.093
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g4) 9.991 0.392 25.506 0.000 9.223 10.759
## .MEM_BL (h4) 1.226 0.021 57.104 0.000 1.184 1.268
## Vr_F_C.BL (i4) 21.571 0.407 52.987 0.000 20.773 22.369
## V_F_C.FU1 (i4) 21.571 0.407 52.987 0.000 20.773 22.369
## .MAT_Sc.BL (j4) 49.838 0.830 60.079 0.000 48.212 51.463
## .MAT_S.FU1 (j4) 49.838 0.830 60.079 0.000 48.212 51.463
## COG_REYII (k4) 2.213 0.027 82.900 0.000 2.161 2.266
## COG_REYII (k4) 2.213 0.027 82.900 0.000 2.161 2.266
## .EF_DELTA (m4) 1.265 0.307 4.123 0.000 0.664 1.867
## .MEM_DELTA (o4) 1.122 0.022 51.492 0.000 1.079 1.165
## Mltmrbdty 4.030 0.064 63.142 0.000 3.905 4.155
## Education 6.983 0.105 66.354 0.000 6.777 7.190
## Income 0.934 0.014 64.425 0.000 0.905 0.962
## BMI 18.305 0.276 66.369 0.000 17.765 18.846
## Source.BL 0.229 0.003 66.502 0.000 0.222 0.235
## White 0.041 0.001 66.502 0.000 0.040 0.042
## Smoking 1.320 0.020 66.250 0.000 1.281 1.359
## Alcohol 6.119 0.093 65.645 0.000 5.937 6.302
## Depressin 16.421 0.248 66.249 0.000 15.935 16.907
## Age_BL 0.330 0.005 66.502 0.000 0.320 0.340
## Langug_BL 0.134 0.002 66.502 0.000 0.130 0.138
## Langg_FU1 0.133 0.002 65.880 0.000 0.129 0.137
## Mtrl_dprv 0.158 0.002 64.875 0.000 0.153 0.162
## Scl_dprvt 0.168 0.003 64.916 0.000 0.163 0.173
## Physcl_ct 0.480 0.008 62.969 0.000 0.465 0.495
## Std.lv Std.all FMI
## 0.618 0.618 0.078
## 0.861 0.861 0.072
## 21.571 0.572 0.123
## 21.571 0.601 0.123
## 49.838 0.654 0.118
## 49.838 0.681 0.118
## 2.213 0.608 0.174
## 2.213 0.577 0.174
## 0.088 0.088 0.340
## 0.693 0.693 0.247
## 4.030 1.000 0.099
## 6.983 1.000 0.004
## 0.934 1.000 0.062
## 18.305 1.000 0.004
## 0.229 1.000 -0.000
## 0.041 1.000 -0.000
## 1.320 1.000 0.008
## 6.119 1.000 0.025
## 16.421 1.000 0.008
## 0.330 1.000 -0.000
## 0.134 1.000 -0.000
## 0.133 1.000 0.019
## 0.158 1.000 0.048
## 0.168 1.000 0.047
## 0.480 1.000 0.103
5) Structural Equation Model: Interaction Model
This structural equation model includes the interaction effects for
our regressions. The regressions modeled the following:
Whether material or social deprivation (measured using CANOE), or
physical activity (measured using the PASE score) at baseline were
independent predictors of baseline executive function or memory, and
whether physical activity moderated the relationships between material
or social deprivation and baseline cognitive performance.
Whether material or social deprivation or physical activity at
baseline were independent predictors of changes in executive function or
memory from baseline to Follow-Up 1, and whether physical activity
moderated the relationships between material or social deprivation and
changes in cognitive performance.
For graphing purposes, we calculated an interaction term in our
models which was then included in our structural equation model. All
parameter estimates of this model are provided in the spreadsheet
“Interaction Model by age groups and sex - no interaction term.csv”
mdl_int2_age_sex <- '
#measurement model - loadings are fixed to be invariant over time
EF_BL =~ c(a1,a2,a3,a4)*Verbal_Fluency_Conservative.BL + c(b1,b2,b3,b4)*MAT_Score.BL
EF_FU1 =~ c(a1,a2,a3,a4)*Verbal_Fluency_Conservative.FU1 + c(b1,b2,b3,b4)*MAT_Score.FU1
MEM_BL =~ c(c1,c2,c3,c4)*COG_REYII_SCORE.BL + c(d1,d2,d3,d4)*COG_REYI_SCORE.BL
MEM_FU1 =~ c(c1,c2,c3,c4)*COG_REYII_SCORE.FU1 + c(d1,d2,d3,d4)*COG_REYI_SCORE.FU1
#specify mean of latent scores
EF_BL ~ c(e1,e2,e3,e4)*1
EF_FU1 ~ 0*1
MEM_BL ~ c(f1,f2,f3,f4)*1
MEM_FU1 ~ 0*1
#specify variance of latent scores
EF_BL ~~ c(g1,g2,g3,g4)*EF_BL
EF_FU1 ~~ 0*EF_FU1
MEM_BL ~~ c(h1,h2,h3,h4)*MEM_BL
MEM_FU1 ~~ 0*MEM_FU1
#specify intercept of observed scores
Verbal_Fluency_Conservative.BL ~ 0*1
Verbal_Fluency_Conservative.FU1 ~ 0*1
MAT_Score.BL ~ 0*1
MAT_Score.FU1 ~ 0*1
COG_REYII_SCORE.BL ~ 0*1
COG_REYII_SCORE.FU1 ~ 0*1
COG_REYI_SCORE.BL ~ 0*1
COG_REYI_SCORE.FU1 ~ 0*1
#allow residuals in indicators to correlate over time
Verbal_Fluency_Conservative.BL ~~ Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ MAT_Score.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.FU1
COG_REYII_SCORE.BL ~~ COG_REYII_SCORE.FU1
#specify variances of observed variables
Verbal_Fluency_Conservative.BL ~~ c(i1,i2,i3,i4)*Verbal_Fluency_Conservative.BL
Verbal_Fluency_Conservative.FU1 ~~ c(i1,i2,i3,i4)*Verbal_Fluency_Conservative.FU1
MAT_Score.BL ~~ c(j1, j2,j3,j4)*MAT_Score.BL
MAT_Score.FU1 ~~ c(j1,j2,j3,j4)*MAT_Score.FU1
COG_REYII_SCORE.BL ~~ c(k1,k2,k3,k4)*COG_REYII_SCORE.BL
COG_REYII_SCORE.FU1 ~~ c(k1,k2,k3,k4)*COG_REYII_SCORE.FU1
COG_REYI_SCORE.BL ~~ 0*COG_REYI_SCORE.BL
COG_REYI_SCORE.FU1 ~~ 0*COG_REYI_SCORE.FU1
#specify autoregressions of latent variables
EF_FU1 ~ 1*EF_BL
MEM_FU1 ~ 1*MEM_BL
#specify latent change score
EF_DELTA =~ 1*EF_FU1
MEM_DELTA =~ 1*MEM_FU1
#specify latent change score mean and variance
EF_DELTA ~ c(l1,l2,l3,l4)*1
EF_DELTA ~~ c(m1,m2,m3,m4)*EF_DELTA
MEM_DELTA ~ c(n1,n2,n3,n4)*1
MEM_DELTA ~~ c(o1,o2,o3,o4)*MEM_DELTA
#specify proportional change component
EF_DELTA ~ EF_BL
MEM_DELTA ~ MEM_BL
#cross-domain covariance
EF_DELTA ~~ MEM_BL
MEM_DELTA ~~ EF_BL
EF_BL ~~ MEM_BL
#regressions
EF_DELTA + EF_BL ~ Multimorbidity + Education + Income + BMI + Source.BL + White + Smoking + Alcohol + Depression
EF_BL ~ Age_BL + Language_BL
EF_DELTA ~ Age_BL + Language_FU1
EF_BL ~ c(c111a, c111b, c111c, c111d)*Material_deprivation + c(c121a, c121b, c121c, c121d)*Social_deprivation + c(b11a, b11b, b11c, b11d)*Physical_activity + c(int1a,int1b,int1c,int1d)*MatINT + c(int2a,int2b,int2c,int2d)*SocINT
EF_DELTA ~ c(c211a, c211b, c211c, c211d)*Material_deprivation + c(c221a, c221b, c221c, c221d)*Social_deprivation + c(b21a, b21b, b21c, b21d)*Physical_activity + c(int3a,int3b,int3c,int3d)*MatINT + c(int4a,int4b,int4c,int4d)*SocINT
MEM_DELTA + MEM_BL ~ Multimorbidity + Education + Income + BMI + Source.BL + White + Smoking + Alcohol + Depression
MEM_BL ~ Age_BL + Language_BL
MEM_DELTA ~ Age_BL + Language_FU1
MEM_BL ~ c(c112a,c112b,c112c,c122d)*Material_deprivation + c(c122a,c122b,c122c,c122d)*Social_deprivation + c(b12a,b12b,b12c,b12d)*Physical_activity + c(int5a,int5b,int5c,int5d)*MatINT + c(int6a,int6b,int6c,int6d)*SocINT
MEM_DELTA ~ c(c212a,c212b,c212c,c212d)*Material_deprivation + c(c222a,c222b,c222c,c222d)*Social_deprivation + c(b22a,b22b,b22c,b22d)*Physical_activity + c(int7a,int7b,int7c,int7d)*MatINT + c(int8a,int8b,int8c,int8d)*SocINT
'
mdl_int2_age_sex_fit <- wide.data2 %>%
filter(!entity_id%in%Mover_IDS) %>%
mutate(AgeGrp = Agebin.BL,
Sex = factor(SEX_ASK.BL,
levels = c("F","M")),
Age_sex = paste(AgeGrp,Sex)
) %>%
group_by(Age_sex) %>%
mutate(Age_BL = scale (AGE_NMBR.BL, scale=FALSE) / 10,
Age_FU1 = scale (AGE_NMBR.FU1,scale=FALSE)/10,
White = recode ( SDC_CULT_WH.BL,
'0' = -0.5,
'1' = 0.5),
BMI = HWT_DBMI.BL,
Multimorbidity = Chronic.BL,
Physical_activity = (PASE_total.BL - median (PASE_total.BL, na.rm=TRUE))/100,
Material_deprivation = (MSDYY_MFS.BL - median (MSDYY_MFS.BL, na.rm=TRUE))*10 ,
Social_deprivation = (MSDYY_SFS.BL - median (MSDYY_SFS.BL, na.rm=TRUE))*10,
#CENTER FOLLOWING AT MEDIAN
Education = ED_UDR11.BL - median (ED_UDR11.BL, na.rm=TRUE),
Income = INC_TOT.BL - median (INC_TOT.BL, na.rm=TRUE) ,
Language_BL = as.numeric(factor(startlanguage.BL,
levels = c("en","fr"),
labels = c("'English", "French"))),
Language_FU1 = as.numeric(factor (startlanguage.FU1,
levels = c("en", "fr"),
labels = c("English", "French"))),
Depression = DEP_CESD10.BL - median (DEP_CESD10.BL, na.rm=TRUE),
Smoking = median (SMK_DSTY.BL, na.rm=TRUE) - SMK_DSTY.BL,
Alcohol = median (ALC_FREQ.BL, na.rm=TRUE) - ALC_FREQ.BL,
Air_pollution = Air_pollution.BL,
MatINT = Material_deprivation*Physical_activity,
SocINT = Social_deprivation*Physical_activity
) %>%
ungroup() %>%
cfa(mdl_int2_age_sex,
data = .,
missing = "ML",
fixed.x = FALSE,
group = "Age_sex")
summary(mdl_int2_age_sex_fit)
## lavaan 0.6.14 ended normally after 1863 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 1044
## Number of equality constraints 21
##
## Number of observations per group:
## 45-64 M 11567
## 65+ F 8953
## 45-64 F 12234
## 65+ M 8845
## Number of missing patterns per group:
## 45-64 M 348
## 65+ F 477
## 45-64 F 336
## 65+ M 439
##
## Model Test User Model:
##
## Test statistic 6619.783
## Degrees of freedom 377
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 45-64 M 1741.979
## 65+ F 1543.101
## 45-64 F 1803.031
## 65+ M 1531.672
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
##
## Group 1 [45-64 M]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a1) 1.000
## MAT_Sc.BL (b1) 1.237 0.003 365.420 0.000
## EF_FU1 =~
## V_F_C.FU1 (a1) 1.000
## MAT_S.FU1 (b1) 1.237 0.003 365.420 0.000
## MEM_BL =~
## COG_REYII (c1) 1.000
## COG_REYI_ (d1) 1.402 0.003 402.393 0.000
## MEM_FU1 =~
## COG_REYII (c1) 1.000
## COG_REYI_ (d1) 1.402 0.003 402.393 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_FU1 ~
## EF_BL 1.000
## MEM_FU1 ~
## MEM_BL 1.000
## EF_DELTA ~
## EF_BL -0.231 0.018 -13.020 0.000
## MEM_DELTA ~
## MEM_BL -0.572 0.010 -56.741 0.000
## EF_DELTA ~
## Mltmrbd -0.039 0.028 -1.431 0.153
## Educatn 0.064 0.021 2.983 0.003
## Income 0.022 0.042 0.513 0.608
## BMI -0.002 0.008 -0.231 0.817
## Sorc.BL -0.525 0.080 -6.531 0.000
## White 0.548 0.186 2.954 0.003
## Smoking -0.006 0.029 -0.203 0.839
## Alcohol 0.046 0.018 2.527 0.012
## Deprssn -0.004 0.009 -0.401 0.688
## EF_BL ~
## Mltmrbd 0.001 0.035 0.039 0.969
## Educatn 0.509 0.025 20.268 0.000
## Income 0.481 0.054 8.868 0.000
## BMI 0.002 0.011 0.197 0.844
## Sorc.BL 0.017 0.105 0.159 0.874
## White 4.109 0.215 19.083 0.000
## Smoking -0.089 0.036 -2.461 0.014
## Alcohol 0.121 0.024 5.114 0.000
## Deprssn -0.070 0.011 -6.091 0.000
## Age_BL -1.294 0.096 -13.461 0.000
## Lngg_BL -1.107 0.133 -8.296 0.000
## EF_DELTA ~
## Age_BL -0.407 0.077 -5.285 0.000
## Lng_FU1 0.029 0.102 0.280 0.779
## EF_BL ~
## Mtrl_dp (c111) -0.618 0.141 -4.385 0.000
## Scl_dpr (c121) 0.029 0.130 0.227 0.821
## Physcl_ (b11a) 0.089 0.061 1.469 0.142
## MatINT (int1) 0.086 0.154 0.559 0.576
## SocINT (int2) 0.304 0.144 2.103 0.035
## EF_DELTA ~
## Mtrl_dp (c211) 0.005 0.110 0.041 0.967
## Scl_dpr (c221) 0.121 0.099 1.213 0.225
## Physcl_ (b21a) 0.041 0.045 0.907 0.364
## MatINT (int3) -0.010 0.117 -0.083 0.934
## SocINT (int4) 0.184 0.109 1.689 0.091
## MEM_DELTA ~
## Mltmrbd -0.013 0.009 -1.372 0.170
## Educatn 0.068 0.007 10.222 0.000
## Income 0.029 0.014 2.057 0.040
## BMI -0.002 0.003 -0.894 0.371
## Sorc.BL -0.407 0.027 -14.956 0.000
## White 0.338 0.058 5.795 0.000
## Smoking -0.036 0.010 -3.690 0.000
## Alcohol 0.014 0.006 2.188 0.029
## Deprssn -0.013 0.003 -4.157 0.000
## MEM_BL ~
## Mltmrbd -0.017 0.009 -1.961 0.050
## Educatn 0.088 0.006 14.159 0.000
## Income 0.070 0.013 5.175 0.000
## BMI -0.004 0.003 -1.448 0.148
## Sorc.BL 0.004 0.026 0.168 0.867
## White 0.386 0.054 7.218 0.000
## Smoking -0.015 0.009 -1.713 0.087
## Alcohol 0.003 0.006 0.434 0.664
## Deprssn -0.019 0.003 -6.622 0.000
## Age_BL -0.266 0.024 -11.171 0.000
## Lngg_BL -0.232 0.033 -7.047 0.000
## MEM_DELTA ~
## Age_BL -0.271 0.025 -10.774 0.000
## Lng_FU1 -0.067 0.034 -1.954 0.051
## MEM_BL ~
## Mtrl_dp (c112) -0.188 0.035 -5.382 0.000
## Scl_dpr (c122) 0.013 0.032 0.409 0.683
## Physcl_ (b12a) 0.022 0.015 1.488 0.137
## MatINT (int5) -0.033 0.038 -0.872 0.383
## SocINT (int6) 0.014 0.036 0.395 0.693
## MEM_DELTA ~
## Mtrl_dp (c212) -0.112 0.037 -3.032 0.002
## Scl_dpr (c222) -0.002 0.034 -0.067 0.947
## Physcl_ (b22a) 0.039 0.015 2.574 0.010
## MatINT (int7) 0.011 0.039 0.285 0.776
## SocINT (int8) 0.055 0.037 1.510 0.131
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 11.631 0.410 28.339 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 26.385 0.735 35.888 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.600 0.024 25.357 0.000
## .MEM_BL ~~
## .EF_DELTA 0.142 0.050 2.817 0.005
## .EF_BL ~~
## .MEM_DELTA 0.781 0.065 12.014 0.000
## .MEM_BL 1.493 0.065 23.025 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.335 0.047 7.103 0.000
## Multimorbidity ~~
## Education -0.489 0.034 -14.569 0.000
## Income -0.318 0.018 -18.087 0.000
## BMI 1.931 0.077 25.216 0.000
## Source.BL 0.004 0.007 0.575 0.565
## White 0.004 0.004 1.046 0.296
## Smoking 0.311 0.022 14.096 0.000
## Alcohol -0.440 0.034 -12.897 0.000
## Depression 1.587 0.071 22.306 0.000
## Age_BL 0.203 0.008 24.107 0.000
## Language_BL -0.013 0.006 -2.222 0.026
## Language_FU1 -0.013 0.006 -2.213 0.027
## Materil_dprvtn 0.054 0.006 9.000 0.000
## Social_deprvtn 0.041 0.006 6.560 0.000
## Physical_ctvty -0.207 0.014 -14.659 0.000
## MatINT -0.035 0.006 -6.166 0.000
## SocINT -0.034 0.006 -5.703 0.000
## Education ~~
## Income 0.856 0.025 34.588 0.000
## BMI -1.243 0.101 -12.243 0.000
## Source.BL -0.138 0.010 -13.869 0.000
## White -0.024 0.005 -4.948 0.000
## Smoking -0.858 0.031 -27.822 0.000
## Alcohol 0.593 0.046 12.818 0.000
## Depression -1.411 0.095 -14.850 0.000
## Age_BL -0.047 0.011 -4.245 0.000
## Language_BL -0.032 0.008 -4.125 0.000
## Language_FU1 -0.031 0.008 -3.915 0.000
## Materil_dprvtn -0.237 0.008 -27.996 0.000
## Social_deprvtn -0.088 0.009 -10.259 0.000
## Physical_ctvty -0.051 0.019 -2.686 0.007
## MatINT 0.001 0.008 0.117 0.907
## SocINT 0.005 0.008 0.654 0.513
## Income ~~
## BMI -0.113 0.052 -2.170 0.030
## Source.BL -0.049 0.005 -9.663 0.000
## White 0.020 0.003 7.817 0.000
## Smoking -0.358 0.016 -22.582 0.000
## Alcohol 0.567 0.024 23.236 0.000
## Depression -1.239 0.050 -24.659 0.000
## Age_BL -0.103 0.006 -17.469 0.000
## Language_BL -0.056 0.004 -13.724 0.000
## Language_FU1 -0.054 0.004 -13.282 0.000
## Materil_dprvtn -0.136 0.004 -30.695 0.000
## Social_deprvtn -0.139 0.005 -29.978 0.000
## Physical_ctvty 0.157 0.010 15.720 0.000
## MatINT 0.006 0.004 1.518 0.129
## SocINT 0.023 0.004 5.458 0.000
## BMI ~~
## Source.BL -0.102 0.022 -4.663 0.000
## White 0.069 0.011 6.447 0.000
## Smoking -0.060 0.066 -0.907 0.364
## Alcohol -1.338 0.103 -12.974 0.000
## Depression 1.488 0.210 7.073 0.000
## Age_BL 0.100 0.025 3.994 0.000
## Language_BL -0.078 0.017 -4.500 0.000
## Language_FU1 -0.078 0.017 -4.467 0.000
## Materil_dprvtn 0.145 0.018 7.920 0.000
## Social_deprvtn -0.028 0.019 -1.474 0.140
## Physical_ctvty -0.333 0.043 -7.803 0.000
## MatINT -0.023 0.017 -1.382 0.167
## SocINT -0.064 0.018 -3.537 0.000
## Source.BL ~~
## White 0.001 0.001 1.024 0.306
## Smoking 0.037 0.006 5.689 0.000
## Alcohol -0.055 0.010 -5.501 0.000
## Depression 0.052 0.020 2.549 0.011
## Age_BL -0.007 0.002 -2.682 0.007
## Language_BL -0.003 0.002 -1.524 0.127
## Language_FU1 -0.003 0.002 -1.627 0.104
## Materil_dprvtn 0.036 0.002 20.024 0.000
## Social_deprvtn 0.002 0.002 1.108 0.268
## Physical_ctvty 0.011 0.004 2.754 0.006
## MatINT 0.004 0.002 2.541 0.011
## SocINT 0.002 0.002 1.140 0.254
## White ~~
## Smoking 0.010 0.003 3.215 0.001
## Alcohol 0.080 0.005 15.655 0.000
## Depression -0.023 0.010 -2.292 0.022
## Age_BL 0.009 0.001 7.860 0.000
## Language_BL 0.001 0.001 1.584 0.113
## Language_FU1 0.002 0.001 1.941 0.052
## Materil_dprvtn -0.006 0.001 -6.653 0.000
## Social_deprvtn 0.002 0.001 2.349 0.019
## Physical_ctvty 0.006 0.002 3.046 0.002
## MatINT -0.000 0.001 -0.113 0.910
## SocINT -0.002 0.001 -2.303 0.021
## Smoking ~~
## Alcohol 0.088 0.030 2.898 0.004
## Depression 0.844 0.062 13.507 0.000
## Age_BL 0.062 0.007 8.356 0.000
## Language_BL 0.051 0.005 9.997 0.000
## Language_FU1 0.051 0.005 9.908 0.000
## Materil_dprvtn 0.091 0.005 16.722 0.000
## Social_deprvtn 0.081 0.006 14.130 0.000
## Physical_ctvty -0.058 0.013 -4.521 0.000
## MatINT -0.002 0.005 -0.398 0.690
## SocINT 0.003 0.005 0.521 0.602
## Alcohol ~~
## Depression -1.256 0.096 -13.059 0.000
## Age_BL 0.056 0.011 4.927 0.000
## Language_BL 0.046 0.008 5.828 0.000
## Language_FU1 0.049 0.008 6.189 0.000
## Materil_dprvtn -0.126 0.008 -15.028 0.000
## Social_deprvtn -0.058 0.009 -6.675 0.000
## Physical_ctvty 0.127 0.019 6.556 0.000
## MatINT 0.011 0.008 1.471 0.141
## SocINT 0.031 0.008 3.798 0.000
## Depression ~~
## Age_BL -0.073 0.023 -3.140 0.002
## Language_BL -0.043 0.016 -2.681 0.007
## Language_FU1 -0.046 0.016 -2.847 0.004
## Materil_dprvtn 0.148 0.017 8.632 0.000
## Social_deprvtn 0.243 0.018 13.515 0.000
## Physical_ctvty -0.507 0.040 -12.712 0.000
## MatINT -0.068 0.016 -4.262 0.000
## SocINT -0.098 0.017 -5.835 0.000
## Age_BL ~~
## Language_BL -0.004 0.002 -2.035 0.042
## Language_FU1 -0.004 0.002 -2.224 0.026
## Materil_dprvtn -0.005 0.002 -2.293 0.022
## Social_deprvtn -0.003 0.002 -1.407 0.159
## Physical_ctvty -0.080 0.005 -16.849 0.000
## MatINT -0.003 0.002 -1.483 0.138
## SocINT -0.005 0.002 -2.543 0.011
## Language_BL ~~
## Language_FU1 0.142 0.002 75.314 0.000
## Materil_dprvtn 0.023 0.001 15.852 0.000
## Social_deprvtn 0.021 0.001 14.464 0.000
## Physical_ctvty -0.010 0.003 -3.076 0.002
## MatINT 0.003 0.001 2.330 0.020
## SocINT 0.002 0.001 1.560 0.119
## Language_FU1 ~~
## Materil_dprvtn 0.022 0.001 15.473 0.000
## Social_deprvtn 0.021 0.001 14.366 0.000
## Physical_ctvty -0.010 0.003 -3.228 0.001
## MatINT 0.003 0.001 2.133 0.033
## SocINT 0.002 0.001 1.391 0.164
## Material_deprivation ~~
## Social_deprvtn 0.013 0.002 8.236 0.000
## Physical_ctvty -0.002 0.003 -0.588 0.557
## MatINT 0.007 0.001 5.102 0.000
## SocINT 0.002 0.001 1.111 0.266
## Social_deprivation ~~
## Physical_ctvty -0.025 0.004 -6.935 0.000
## MatINT 0.001 0.001 0.788 0.431
## SocINT 0.001 0.001 0.815 0.415
## Physical_activity ~~
## MatINT 0.027 0.003 8.895 0.000
## SocINT 0.031 0.003 9.474 0.000
## MatINT ~~
## SocINT 0.009 0.001 6.994 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e1) 23.264 0.383 60.688 0.000
## .EF_FU1 0.000
## .MEM_BL (f1) 4.539 0.095 47.671 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l1) 5.633 0.505 11.146 0.000
## .MEM_DELTA (n1) 3.408 0.110 31.040 0.000
## Mltmrbdty 1.653 0.015 109.995 0.000
## Education -0.498 0.021 -24.277 0.000
## Income -0.459 0.011 -43.247 0.000
## BMI 28.329 0.046 619.954 0.000
## Source.BL 1.361 0.004 304.769 0.000
## White 0.442 0.002 202.808 0.000
## Smoking 0.493 0.014 36.457 0.000
## Alcohol -1.048 0.021 -50.334 0.000
## Depressin 1.119 0.043 26.240 0.000
## Age_BL -0.000 0.005 -0.000 1.000
## Langug_BL 1.174 0.004 333.162 0.000
## Langg_FU1 1.175 0.004 331.655 0.000
## Mtrl_dprv 0.026 0.004 6.938 0.000
## Scl_dprvt 0.030 0.004 7.638 0.000
## Physcl_ct 0.079 0.009 9.209 0.000
## MatINT -0.001 0.003 -0.255 0.799
## SocINT -0.022 0.004 -6.046 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g1) 12.691 0.394 32.173 0.000
## .EF_FU1 0.000
## .MEM_BL (h1) 1.633 0.023 69.782 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i1) 25.357 0.403 62.972 0.000
## .V_F_C.FU1 (i1) 25.357 0.403 62.972 0.000
## .MAT_Sc.BL (j1) 48.792 0.713 68.425 0.000
## .MAT_S.FU1 (j1) 48.792 0.713 68.425 0.000
## .COG_REYII (k1) 2.174 0.022 97.398 0.000
## .COG_REYII (k1) 2.174 0.022 97.398 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m1) 0.955 0.256 3.727 0.000
## .MEM_DELTA (o1) 1.499 0.023 64.631 0.000
## Mltmrbdty 2.501 0.034 73.887 0.000
## Education 4.856 0.064 75.990 0.000
## Income 1.273 0.017 74.695 0.000
## BMI 24.073 0.317 75.881 0.000
## Source.BL 0.231 0.003 76.049 0.000
## White 0.055 0.001 76.049 0.000
## Smoking 2.102 0.028 75.861 0.000
## Alcohol 4.929 0.066 75.145 0.000
## Depressin 20.971 0.276 75.900 0.000
## Age_BL 0.297 0.004 76.049 0.000
## Langug_BL 0.144 0.002 76.049 0.000
## Langg_FU1 0.145 0.002 75.765 0.000
## Mtrl_dprv 0.154 0.002 74.528 0.000
## Scl_dprvt 0.168 0.002 74.528 0.000
## Physcl_ct 0.783 0.011 72.620 0.000
## MatINT 0.119 0.002 71.245 0.000
## SocINT 0.134 0.002 71.246 0.000
##
##
## Group 2 [65+ F]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a2) 1.000
## MAT_Sc.BL (b2) 1.243 0.004 283.303 0.000
## EF_FU1 =~
## V_F_C.FU1 (a2) 1.000
## MAT_S.FU1 (b2) 1.243 0.004 283.303 0.000
## MEM_BL =~
## COG_REYII (c2) 1.000
## COG_REYI_ (d2) 1.399 0.005 309.600 0.000
## MEM_FU1 =~
## COG_REYII (c2) 1.000
## COG_REYI_ (d2) 1.399 0.005 309.600 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_FU1 ~
## EF_BL 1.000
## MEM_FU1 ~
## MEM_BL 1.000
## EF_DELTA ~
## EF_BL -0.206 0.023 -8.874 0.000
## MEM_DELTA ~
## MEM_BL -0.576 0.012 -46.439 0.000
## EF_DELTA ~
## Mltmrbd 0.024 0.024 0.992 0.321
## Educatn 0.014 0.022 0.657 0.511
## Income 0.056 0.058 0.975 0.329
## BMI 0.026 0.008 3.162 0.002
## Sorc.BL -0.622 0.091 -6.825 0.000
## White 0.323 0.291 1.110 0.267
## Smoking -0.039 0.036 -1.074 0.283
## Alcohol 0.057 0.019 2.918 0.004
## Deprssn -0.014 0.010 -1.404 0.160
## EF_BL ~
## Mltmrbd -0.055 0.028 -1.984 0.047
## Educatn 0.502 0.022 22.863 0.000
## Income 0.307 0.069 4.461 0.000
## BMI 0.018 0.010 1.886 0.059
## Sorc.BL 0.057 0.107 0.528 0.597
## White 2.713 0.321 8.442 0.000
## Smoking -0.046 0.041 -1.119 0.263
## Alcohol 0.088 0.023 3.893 0.000
## Deprssn -0.087 0.011 -7.757 0.000
## Age_BL -1.942 0.094 -20.675 0.000
## Lngg_BL -1.267 0.137 -9.241 0.000
## EF_DELTA ~
## Age_BL -0.775 0.091 -8.472 0.000
## Lng_FU1 -0.237 0.118 -2.001 0.045
## EF_BL ~
## Mtrl_dp (c111) -0.504 0.139 -3.636 0.000
## Scl_dpr (c121) 0.058 0.133 0.434 0.664
## Physcl_ (b11b) 0.493 0.092 5.334 0.000
## MatINT (int1) 0.110 0.214 0.513 0.608
## SocINT (int2) -0.014 0.221 -0.064 0.949
## EF_DELTA ~
## Mtrl_dp (c211) 0.008 0.118 0.063 0.949
## Scl_dpr (c221) -0.036 0.112 -0.318 0.750
## Physcl_ (b21b) 0.199 0.075 2.642 0.008
## MatINT (int3) -0.316 0.175 -1.803 0.071
## SocINT (int4) -0.038 0.180 -0.212 0.832
## MEM_DELTA ~
## Mltmrbd -0.009 0.009 -0.991 0.322
## Educatn 0.037 0.008 4.954 0.000
## Income 0.083 0.023 3.633 0.000
## BMI 0.000 0.003 0.127 0.899
## Sorc.BL -0.169 0.036 -4.670 0.000
## White 0.316 0.111 2.849 0.004
## Smoking -0.022 0.014 -1.525 0.127
## Alcohol 0.006 0.008 0.772 0.440
## Deprssn -0.008 0.004 -2.068 0.039
## MEM_BL ~
## Mltmrbd -0.008 0.008 -0.910 0.363
## Educatn 0.090 0.007 13.546 0.000
## Income 0.074 0.021 3.544 0.000
## BMI 0.007 0.003 2.436 0.015
## Sorc.BL 0.386 0.032 11.877 0.000
## White 0.289 0.097 2.976 0.003
## Smoking -0.030 0.012 -2.391 0.017
## Alcohol 0.022 0.007 3.129 0.002
## Deprssn -0.016 0.003 -4.708 0.000
## Age_BL -0.505 0.028 -17.795 0.000
## Lngg_BL -0.125 0.041 -3.036 0.002
## MEM_DELTA ~
## Age_BL -0.539 0.032 -16.753 0.000
## Lng_FU1 0.018 0.045 0.403 0.687
## MEM_BL ~
## Mtrl_dp (c112) 0.009 0.042 0.227 0.820
## Scl_dpr (c122) -0.043 0.040 -1.076 0.282
## Physcl_ (b12b) 0.167 0.028 5.982 0.000
## MatINT (int5) -0.066 0.065 -1.014 0.311
## SocINT (int6) 0.023 0.066 0.353 0.724
## MEM_DELTA ~
## Mtrl_dp (c212) -0.011 0.046 -0.233 0.816
## Scl_dpr (c222) -0.050 0.044 -1.133 0.257
## Physcl_ (b22b) 0.145 0.029 4.926 0.000
## MatINT (int7) 0.087 0.069 1.266 0.205
## SocINT (int8) -0.000 0.071 -0.003 0.997
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 7.370 0.368 20.027 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 20.427 0.766 26.658 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.692 0.034 20.435 0.000
## .MEM_BL ~~
## .EF_DELTA 0.033 0.063 0.529 0.597
## .EF_BL ~~
## .MEM_DELTA 0.690 0.077 8.901 0.000
## .MEM_BL 1.408 0.072 19.434 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.425 0.060 7.100 0.000
## Multimorbidity ~~
## Education -0.465 0.059 -7.874 0.000
## Income -0.278 0.022 -12.458 0.000
## BMI 2.312 0.133 17.409 0.000
## Source.BL -0.013 0.011 -1.185 0.236
## White -0.008 0.004 -2.239 0.025
## Smoking 0.190 0.029 6.546 0.000
## Alcohol -0.836 0.058 -14.324 0.000
## Depression 2.161 0.112 19.352 0.000
## Age_BL 0.199 0.014 14.620 0.000
## Language_BL -0.004 0.009 -0.424 0.671
## Language_FU1 -0.000 0.009 -0.051 0.960
## Materil_dprvtn 0.049 0.010 5.018 0.000
## Social_deprvtn 0.064 0.010 6.579 0.000
## Physical_ctvty -0.285 0.015 -18.532 0.000
## MatINT -0.005 0.007 -0.703 0.482
## SocINT -0.006 0.006 -0.928 0.353
## Education ~~
## Income 0.848 0.027 30.997 0.000
## BMI -1.208 0.152 -7.941 0.000
## Source.BL -0.087 0.013 -6.633 0.000
## White -0.015 0.004 -3.489 0.000
## Smoking -0.327 0.034 -9.544 0.000
## Alcohol 1.215 0.069 17.556 0.000
## Depression -1.235 0.128 -9.658 0.000
## Age_BL -0.218 0.016 -13.634 0.000
## Language_BL -0.113 0.010 -10.973 0.000
## Language_FU1 -0.110 0.010 -10.550 0.000
## Materil_dprvtn -0.293 0.012 -24.519 0.000
## Social_deprvtn -0.070 0.011 -6.162 0.000
## Physical_ctvty 0.160 0.018 9.005 0.000
## MatINT -0.021 0.008 -2.733 0.006
## SocINT 0.004 0.007 0.490 0.624
## Income ~~
## BMI -0.519 0.057 -9.085 0.000
## Source.BL -0.047 0.005 -9.581 0.000
## White 0.005 0.002 3.147 0.002
## Smoking -0.104 0.013 -8.117 0.000
## Alcohol 0.615 0.026 23.526 0.000
## Depression -0.646 0.048 -13.344 0.000
## Age_BL -0.076 0.006 -12.706 0.000
## Language_BL -0.052 0.004 -13.406 0.000
## Language_FU1 -0.051 0.004 -13.009 0.000
## Materil_dprvtn -0.114 0.004 -25.519 0.000
## Social_deprvtn -0.092 0.004 -21.024 0.000
## Physical_ctvty 0.072 0.007 10.828 0.000
## MatINT -0.004 0.003 -1.236 0.217
## SocINT -0.007 0.003 -2.463 0.014
## BMI ~~
## Source.BL -0.211 0.029 -7.351 0.000
## White 0.000 0.009 0.036 0.971
## Smoking -0.028 0.075 -0.376 0.707
## Alcohol -2.204 0.151 -14.634 0.000
## Depression 1.990 0.281 7.085 0.000
## Age_BL -0.402 0.035 -11.485 0.000
## Language_BL -0.027 0.023 -1.195 0.232
## Language_FU1 -0.025 0.023 -1.094 0.274
## Materil_dprvtn 0.215 0.025 8.490 0.000
## Social_deprvtn 0.060 0.025 2.422 0.015
## Physical_ctvty -0.510 0.039 -13.021 0.000
## MatINT 0.003 0.017 0.170 0.865
## SocINT -0.013 0.016 -0.805 0.421
## Source.BL ~~
## White 0.002 0.001 2.467 0.014
## Smoking 0.012 0.006 1.938 0.053
## Alcohol -0.088 0.013 -6.849 0.000
## Depression 0.007 0.024 0.286 0.775
## Age_BL 0.018 0.003 5.953 0.000
## Language_BL -0.007 0.002 -3.443 0.001
## Language_FU1 -0.007 0.002 -3.519 0.000
## Materil_dprvtn 0.036 0.002 16.425 0.000
## Social_deprvtn -0.003 0.002 -1.535 0.125
## Physical_ctvty -0.014 0.003 -4.305 0.000
## MatINT 0.001 0.001 0.368 0.713
## SocINT 0.000 0.001 0.133 0.894
## White ~~
## Smoking 0.015 0.002 7.015 0.000
## Alcohol 0.035 0.004 8.034 0.000
## Depression -0.027 0.008 -3.373 0.001
## Age_BL 0.002 0.001 2.253 0.024
## Language_BL 0.001 0.001 1.905 0.057
## Language_FU1 0.001 0.001 2.322 0.020
## Materil_dprvtn -0.002 0.001 -2.153 0.031
## Social_deprvtn -0.000 0.001 -0.245 0.806
## Physical_ctvty 0.001 0.001 1.225 0.220
## MatINT -0.001 0.000 -1.281 0.200
## SocINT -0.000 0.000 -0.499 0.618
## Smoking ~~
## Alcohol 0.250 0.034 7.445 0.000
## Depression 0.380 0.063 6.039 0.000
## Age_BL -0.052 0.008 -6.619 0.000
## Language_BL 0.010 0.005 2.013 0.044
## Language_FU1 0.007 0.005 1.435 0.151
## Materil_dprvtn 0.031 0.006 5.392 0.000
## Social_deprvtn 0.042 0.006 7.535 0.000
## Physical_ctvty -0.024 0.009 -2.734 0.006
## MatINT 0.001 0.004 0.164 0.870
## SocINT 0.001 0.004 0.153 0.878
## Alcohol ~~
## Depression -0.915 0.125 -7.312 0.000
## Age_BL -0.077 0.016 -4.945 0.000
## Language_BL 0.024 0.010 2.363 0.018
## Language_FU1 0.025 0.010 2.486 0.013
## Materil_dprvtn -0.193 0.012 -16.793 0.000
## Social_deprvtn -0.072 0.011 -6.424 0.000
## Physical_ctvty 0.148 0.017 8.590 0.000
## MatINT -0.007 0.007 -0.904 0.366
## SocINT -0.002 0.007 -0.292 0.770
## Depression ~~
## Age_BL 0.117 0.029 4.030 0.000
## Language_BL 0.040 0.019 2.122 0.034
## Language_FU1 0.041 0.019 2.143 0.032
## Materil_dprvtn 0.106 0.021 4.971 0.000
## Social_deprvtn 0.116 0.021 5.528 0.000
## Physical_ctvty -0.411 0.033 -12.510 0.000
## MatINT -0.010 0.014 -0.711 0.477
## SocINT 0.021 0.014 1.530 0.126
## Age_BL ~~
## Language_BL -0.005 0.002 -2.301 0.021
## Language_FU1 -0.006 0.002 -2.399 0.016
## Materil_dprvtn -0.005 0.003 -1.792 0.073
## Social_deprvtn 0.019 0.003 7.282 0.000
## Physical_ctvty -0.099 0.004 -23.733 0.000
## MatINT 0.001 0.002 0.318 0.751
## SocINT 0.000 0.002 0.201 0.840
## Language_BL ~~
## Language_FU1 0.141 0.002 66.067 0.000
## Materil_dprvtn 0.031 0.002 17.471 0.000
## Social_deprvtn 0.022 0.002 13.010 0.000
## Physical_ctvty -0.008 0.003 -2.899 0.004
## MatINT 0.001 0.001 1.021 0.307
## SocINT 0.002 0.001 1.914 0.056
## Language_FU1 ~~
## Materil_dprvtn 0.030 0.002 17.179 0.000
## Social_deprvtn 0.023 0.002 13.316 0.000
## Physical_ctvty -0.007 0.003 -2.597 0.009
## MatINT 0.001 0.001 0.699 0.484
## SocINT 0.002 0.001 1.860 0.063
## Material_deprivation ~~
## Social_deprvtn 0.006 0.002 3.339 0.001
## Physical_ctvty -0.015 0.003 -5.017 0.000
## MatINT 0.009 0.001 7.375 0.000
## SocINT -0.001 0.001 -0.444 0.657
## Social_deprivation ~~
## Physical_ctvty -0.025 0.003 -8.555 0.000
## MatINT -0.001 0.001 -0.561 0.575
## SocINT 0.008 0.001 7.184 0.000
## Physical_activity ~~
## MatINT 0.004 0.002 2.056 0.040
## SocINT -0.004 0.002 -2.294 0.022
## MatINT ~~
## SocINT 0.001 0.001 1.680 0.093
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e2) 18.506 0.398 46.485 0.000
## .EF_FU1 0.000
## .MEM_BL (f2) 3.419 0.121 28.361 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l2) 3.370 0.545 6.183 0.000
## .MEM_DELTA (n2) 2.583 0.140 18.405 0.000
## Mltmrbdty 3.251 0.023 141.497 0.000
## Education -0.450 0.027 -16.642 0.000
## Income 0.459 0.010 45.380 0.000
## BMI 27.510 0.059 464.043 0.000
## Source.BL 1.367 0.005 268.371 0.000
## White 0.475 0.002 285.016 0.000
## Smoking 0.240 0.013 18.003 0.000
## Alcohol 0.211 0.027 7.956 0.000
## Depressin 0.824 0.050 16.567 0.000
## Age_BL 0.000 0.006 0.000 1.000
## Langug_BL 1.174 0.004 292.820 0.000
## Langg_FU1 1.174 0.004 291.518 0.000
## Mtrl_dprv 0.023 0.004 5.009 0.000
## Scl_dprvt 0.017 0.004 3.810 0.000
## Physcl_ct 0.061 0.007 8.794 0.000
## MatINT -0.014 0.003 -4.596 0.000
## SocINT -0.023 0.003 -7.900 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g2) 10.218 0.366 27.952 0.000
## .EF_FU1 0.000
## .MEM_BL (h2) 1.931 0.032 59.821 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i2) 18.201 0.356 51.188 0.000
## .V_F_C.FU1 (i2) 18.201 0.356 51.188 0.000
## .MAT_Sc.BL (j2) 45.304 0.719 62.987 0.000
## .MAT_S.FU1 (j2) 45.304 0.719 62.987 0.000
## .COG_REYII (k2) 2.607 0.031 83.594 0.000
## .COG_REYII (k2) 2.607 0.031 83.594 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m2) 0.676 0.291 2.324 0.020
## .MEM_DELTA (o2) 1.812 0.034 53.324 0.000
## Mltmrbdty 4.277 0.068 63.111 0.000
## Education 6.526 0.098 66.792 0.000
## Income 0.833 0.013 63.044 0.000
## BMI 31.286 0.469 66.675 0.000
## Source.BL 0.232 0.003 66.907 0.000
## White 0.025 0.000 66.907 0.000
## Smoking 1.577 0.024 66.668 0.000
## Alcohol 6.002 0.092 65.047 0.000
## Depressin 21.989 0.330 66.622 0.000
## Age_BL 0.342 0.005 66.907 0.000
## Langug_BL 0.144 0.002 66.907 0.000
## Langg_FU1 0.144 0.002 66.446 0.000
## Mtrl_dprv 0.172 0.003 64.840 0.000
## Scl_dprvt 0.167 0.003 64.871 0.000
## Physcl_ct 0.387 0.006 63.311 0.000
## MatINT 0.066 0.001 61.563 0.000
## SocINT 0.062 0.001 61.564 0.000
##
##
## Group 3 [45-64 F]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a3) 1.000
## MAT_Sc.BL (b3) 1.205 0.003 385.301 0.000
## EF_FU1 =~
## V_F_C.FU1 (a3) 1.000
## MAT_S.FU1 (b3) 1.205 0.003 385.301 0.000
## MEM_BL =~
## COG_REYII (c3) 1.000
## COG_REYI_ (d3) 1.291 0.003 492.392 0.000
## MEM_FU1 =~
## COG_REYII (c3) 1.000
## COG_REYI_ (d3) 1.291 0.003 492.392 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_FU1 ~
## EF_BL 1.000
## MEM_FU1 ~
## MEM_BL 1.000
## EF_DELTA ~
## EF_BL -0.288 0.019 -15.295 0.000
## MEM_DELTA ~
## MEM_BL -0.541 0.010 -54.837 0.000
## EF_DELTA ~
## Mltmrbd -0.035 0.024 -1.447 0.148
## Educatn 0.077 0.021 3.748 0.000
## Income 0.044 0.040 1.106 0.269
## BMI 0.009 0.006 1.527 0.127
## Sorc.BL -0.369 0.075 -4.901 0.000
## White 0.553 0.196 2.826 0.005
## Smoking 0.023 0.026 0.907 0.364
## Alcohol 0.018 0.018 1.001 0.317
## Deprssn -0.021 0.008 -2.717 0.007
## EF_BL ~
## Mltmrbd -0.106 0.030 -3.515 0.000
## Educatn 0.485 0.024 20.594 0.000
## Income 0.385 0.050 7.654 0.000
## BMI 0.009 0.008 1.175 0.240
## Sorc.BL 0.136 0.096 1.416 0.157
## White 3.887 0.219 17.715 0.000
## Smoking -0.137 0.032 -4.253 0.000
## Alcohol 0.079 0.023 3.493 0.000
## Deprssn -0.068 0.009 -7.225 0.000
## Age_BL -0.963 0.091 -10.617 0.000
## Lngg_BL -0.824 0.124 -6.659 0.000
## EF_DELTA ~
## Age_BL -0.547 0.073 -7.476 0.000
## Lng_FU1 0.065 0.097 0.672 0.501
## EF_BL ~
## Mtrl_dp (c111) -0.595 0.129 -4.618 0.000
## Scl_dpr (c121) 0.085 0.123 0.694 0.488
## Physcl_ (b11c) 0.195 0.060 3.234 0.001
## MatINT (int1) -0.083 0.149 -0.559 0.576
## SocINT (int2) -0.001 0.145 -0.010 0.992
## EF_DELTA ~
## Mtrl_dp (c211) -0.260 0.102 -2.542 0.011
## Scl_dpr (c221) -0.160 0.096 -1.666 0.096
## Physcl_ (b21c) -0.004 0.046 -0.079 0.937
## MatINT (int3) 0.186 0.113 1.644 0.100
## SocINT (int4) 0.127 0.111 1.144 0.253
## MEM_DELTA ~
## Mltmrbd -0.024 0.010 -2.447 0.014
## Educatn 0.062 0.008 8.022 0.000
## Income 0.042 0.016 2.547 0.011
## BMI -0.005 0.003 -2.043 0.041
## Sorc.BL -0.452 0.031 -14.457 0.000
## White 0.257 0.075 3.414 0.001
## Smoking -0.016 0.011 -1.484 0.138
## Alcohol 0.010 0.007 1.312 0.190
## Deprssn -0.008 0.003 -2.692 0.007
## MEM_BL ~
## Mltmrbd -0.009 0.009 -1.007 0.314
## Educatn 0.107 0.007 14.837 0.000
## Income 0.077 0.016 4.943 0.000
## BMI -0.002 0.002 -0.774 0.439
## Sorc.BL 0.209 0.030 7.018 0.000
## White 0.277 0.068 4.097 0.000
## Smoking -0.014 0.010 -1.412 0.158
## Alcohol 0.029 0.007 4.147 0.000
## Deprssn -0.012 0.003 -4.213 0.000
## Age_BL -0.104 0.028 -3.698 0.000
## Lngg_BL -0.236 0.038 -6.210 0.000
## MEM_DELTA ~
## Age_BL -0.187 0.030 -6.315 0.000
## Lng_FU1 -0.038 0.040 -0.950 0.342
## MEM_BL ~
## Mtrl_dp (c112) -0.048 0.040 -1.216 0.224
## Scl_dpr (c122) -0.027 0.038 -0.695 0.487
## Physcl_ (b12c) 0.043 0.019 2.320 0.020
## MatINT (int5) 0.024 0.046 0.517 0.605
## SocINT (int6) -0.014 0.045 -0.317 0.751
## MEM_DELTA ~
## Mtrl_dp (c212) -0.086 0.042 -2.032 0.042
## Scl_dpr (c222) 0.004 0.040 0.092 0.927
## Physcl_ (b22c) 0.038 0.019 1.984 0.047
## MatINT (int7) 0.145 0.047 3.112 0.002
## SocINT (int8) -0.013 0.046 -0.278 0.781
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 11.226 0.373 30.081 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 21.154 0.627 33.752 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.559 0.026 21.215 0.000
## .MEM_BL ~~
## .EF_DELTA 0.234 0.058 4.070 0.000
## .EF_BL ~~
## .MEM_DELTA 0.986 0.073 13.471 0.000
## .MEM_BL 1.627 0.071 22.930 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.239 0.054 4.459 0.000
## Multimorbidity ~~
## Education -0.519 0.035 -14.879 0.000
## Income -0.420 0.019 -21.927 0.000
## BMI 2.999 0.106 28.287 0.000
## Source.BL -0.005 0.008 -0.663 0.507
## White 0.004 0.003 1.208 0.227
## Smoking 0.195 0.024 8.157 0.000
## Alcohol -0.594 0.036 -16.337 0.000
## Depression 2.190 0.086 25.531 0.000
## Age_BL 0.223 0.009 25.215 0.000
## Language_BL -0.014 0.006 -2.202 0.028
## Language_FU1 -0.013 0.006 -2.195 0.028
## Materil_dprvtn 0.073 0.007 11.158 0.000
## Social_deprvtn 0.070 0.007 10.651 0.000
## Physical_ctvty -0.233 0.014 -16.498 0.000
## MatINT -0.019 0.006 -3.397 0.001
## SocINT -0.046 0.006 -7.828 0.000
## Education ~~
## Income 0.825 0.024 34.542 0.000
## BMI -1.930 0.124 -15.555 0.000
## Source.BL -0.114 0.009 -12.121 0.000
## White -0.020 0.004 -4.843 0.000
## Smoking -0.747 0.030 -25.149 0.000
## Alcohol 0.785 0.044 17.800 0.000
## Depression -1.305 0.101 -12.940 0.000
## Age_BL -0.104 0.010 -9.924 0.000
## Language_BL -0.046 0.007 -6.180 0.000
## Language_FU1 -0.045 0.007 -6.107 0.000
## Materil_dprvtn -0.229 0.008 -28.233 0.000
## Social_deprvtn -0.076 0.008 -9.467 0.000
## Physical_ctvty 0.161 0.017 9.467 0.000
## MatINT -0.003 0.007 -0.372 0.710
## SocINT 0.010 0.007 1.389 0.165
## Income ~~
## BMI -1.101 0.068 -16.290 0.000
## Source.BL -0.043 0.005 -8.415 0.000
## White 0.010 0.002 4.433 0.000
## Smoking -0.293 0.016 -18.418 0.000
## Alcohol 0.648 0.024 26.639 0.000
## Depression -1.416 0.056 -25.252 0.000
## Age_BL -0.137 0.006 -23.605 0.000
## Language_BL -0.060 0.004 -14.901 0.000
## Language_FU1 -0.060 0.004 -14.706 0.000
## Materil_dprvtn -0.144 0.004 -32.411 0.000
## Social_deprvtn -0.148 0.005 -32.544 0.000
## Physical_ctvty 0.131 0.009 14.186 0.000
## MatINT -0.002 0.004 -0.560 0.576
## SocINT 0.005 0.004 1.410 0.158
## BMI ~~
## Source.BL -0.096 0.028 -3.468 0.001
## White 0.043 0.012 3.554 0.000
## Smoking 0.201 0.085 2.359 0.018
## Alcohol -3.020 0.131 -23.132 0.000
## Depression 3.861 0.297 12.995 0.000
## Age_BL 0.258 0.031 8.366 0.000
## Language_BL -0.113 0.022 -5.196 0.000
## Language_FU1 -0.115 0.022 -5.255 0.000
## Materil_dprvtn 0.339 0.023 14.514 0.000
## Social_deprvtn 0.216 0.024 9.136 0.000
## Physical_ctvty -0.874 0.050 -17.470 0.000
## MatINT -0.025 0.020 -1.237 0.216
## SocINT -0.078 0.021 -3.739 0.000
## Source.BL ~~
## White 0.003 0.001 2.809 0.005
## Smoking 0.033 0.006 5.014 0.000
## Alcohol -0.084 0.010 -8.562 0.000
## Depression 0.020 0.022 0.886 0.376
## Age_BL -0.006 0.002 -2.461 0.014
## Language_BL -0.005 0.002 -3.238 0.001
## Language_FU1 -0.005 0.002 -2.792 0.005
## Materil_dprvtn 0.030 0.002 17.002 0.000
## Social_deprvtn -0.000 0.002 -0.179 0.858
## Physical_ctvty -0.004 0.004 -1.078 0.281
## MatINT 0.002 0.002 1.397 0.162
## SocINT 0.001 0.002 0.850 0.395
## White ~~
## Smoking 0.032 0.003 11.417 0.000
## Alcohol 0.058 0.004 13.057 0.000
## Depression -0.038 0.010 -3.835 0.000
## Age_BL 0.005 0.001 5.303 0.000
## Language_BL 0.003 0.001 4.025 0.000
## Language_FU1 0.003 0.001 4.496 0.000
## Materil_dprvtn -0.003 0.001 -4.002 0.000
## Social_deprvtn 0.002 0.001 2.631 0.009
## Physical_ctvty -0.000 0.002 -0.277 0.782
## MatINT 0.001 0.001 1.038 0.299
## SocINT -0.001 0.001 -1.182 0.237
## Smoking ~~
## Alcohol 0.093 0.030 3.079 0.002
## Depression 0.942 0.070 13.478 0.000
## Age_BL -0.010 0.007 -1.316 0.188
## Language_BL 0.054 0.005 10.390 0.000
## Language_FU1 0.056 0.005 10.816 0.000
## Materil_dprvtn 0.078 0.005 14.307 0.000
## Social_deprvtn 0.084 0.006 15.102 0.000
## Physical_ctvty -0.063 0.012 -5.343 0.000
## MatINT -0.004 0.005 -0.871 0.384
## SocINT -0.003 0.005 -0.640 0.522
## Alcohol ~~
## Depression -1.461 0.105 -13.882 0.000
## Age_BL 0.006 0.011 0.560 0.575
## Language_BL 0.064 0.008 8.291 0.000
## Language_FU1 0.067 0.008 8.750 0.000
## Materil_dprvtn -0.152 0.008 -18.346 0.000
## Social_deprvtn -0.067 0.008 -8.042 0.000
## Physical_ctvty 0.136 0.018 7.767 0.000
## MatINT 0.004 0.007 0.579 0.562
## SocINT 0.028 0.007 3.787 0.000
## Depression ~~
## Age_BL -0.039 0.025 -1.554 0.120
## Language_BL 0.044 0.018 2.470 0.014
## Language_FU1 0.042 0.018 2.344 0.019
## Materil_dprvtn 0.228 0.019 12.022 0.000
## Social_deprvtn 0.218 0.019 11.302 0.000
## Physical_ctvty -0.520 0.041 -12.694 0.000
## MatINT -0.034 0.017 -2.038 0.042
## SocINT -0.092 0.017 -5.373 0.000
## Age_BL ~~
## Language_BL -0.000 0.002 -0.088 0.930
## Language_FU1 -0.000 0.002 -0.266 0.790
## Materil_dprvtn -0.001 0.002 -0.437 0.662
## Social_deprvtn 0.011 0.002 5.515 0.000
## Physical_ctvty -0.077 0.004 -18.122 0.000
## MatINT -0.002 0.002 -1.330 0.183
## SocINT -0.003 0.002 -1.523 0.128
## Language_BL ~~
## Language_FU1 0.142 0.002 77.176 0.000
## Materil_dprvtn 0.026 0.001 18.345 0.000
## Social_deprvtn 0.023 0.001 15.882 0.000
## Physical_ctvty -0.013 0.003 -4.231 0.000
## MatINT 0.000 0.001 0.214 0.831
## SocINT -0.000 0.001 -0.110 0.913
## Language_FU1 ~~
## Materil_dprvtn 0.026 0.001 18.161 0.000
## Social_deprvtn 0.023 0.001 15.823 0.000
## Physical_ctvty -0.013 0.003 -4.351 0.000
## MatINT -0.000 0.001 -0.250 0.803
## SocINT -0.000 0.001 -0.098 0.922
## Material_deprivation ~~
## Social_deprvtn 0.016 0.001 10.897 0.000
## Physical_ctvty -0.016 0.003 -5.000 0.000
## MatINT 0.008 0.001 6.116 0.000
## SocINT 0.002 0.001 1.263 0.207
## Social_deprivation ~~
## Physical_ctvty -0.023 0.003 -7.170 0.000
## MatINT 0.001 0.001 1.141 0.254
## SocINT 0.010 0.001 7.502 0.000
## Physical_activity ~~
## MatINT 0.025 0.003 9.560 0.000
## SocINT 0.019 0.003 7.193 0.000
## MatINT ~~
## SocINT 0.011 0.001 10.531 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e3) 21.639 0.321 67.406 0.000
## .EF_FU1 0.000
## .MEM_BL (f3) 5.123 0.099 51.649 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l3) 6.214 0.478 12.993 0.000
## .MEM_DELTA (n3) 4.113 0.116 35.308 0.000
## Mltmrbdty 1.936 0.016 120.787 0.000
## Education 0.403 0.019 20.729 0.000
## Income 0.289 0.011 27.432 0.000
## BMI 27.762 0.057 485.549 0.000
## Source.BL 1.366 0.004 313.651 0.000
## White 0.454 0.002 239.407 0.000
## Smoking 0.446 0.013 33.102 0.000
## Alcohol -0.610 0.020 -30.217 0.000
## Depressin 0.882 0.047 18.945 0.000
## Age_BL -0.000 0.005 -0.000 1.000
## Langug_BL 1.177 0.003 341.263 0.000
## Langg_FU1 1.176 0.003 340.621 0.000
## Mtrl_dprv 0.033 0.004 9.108 0.000
## Scl_dprvt 0.026 0.004 6.896 0.000
## Physcl_ct 0.082 0.008 10.443 0.000
## MatINT -0.013 0.003 -4.012 0.000
## SocINT -0.021 0.003 -6.411 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g3) 10.967 0.349 31.457 0.000
## .EF_FU1 0.000
## .MEM_BL (h3) 2.293 0.031 72.872 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i3) 24.124 0.364 66.299 0.000
## .V_F_C.FU1 (i3) 24.124 0.364 66.299 0.000
## .MAT_Sc.BL (j3) 42.700 0.598 71.411 0.000
## .MAT_S.FU1 (j3) 42.700 0.598 71.411 0.000
## .COG_REYII (k3) 2.446 0.024 100.723 0.000
## .COG_REYII (k3) 2.446 0.024 100.723 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m3) 0.955 0.233 4.098 0.000
## .MEM_DELTA (o3) 2.113 0.032 66.981 0.000
## Mltmrbdty 2.981 0.040 75.454 0.000
## Education 4.613 0.059 78.140 0.000
## Income 1.307 0.017 76.123 0.000
## BMI 39.770 0.511 77.876 0.000
## Source.BL 0.232 0.003 78.211 0.000
## White 0.044 0.001 78.211 0.000
## Smoking 2.208 0.028 78.038 0.000
## Alcohol 4.868 0.063 76.914 0.000
## Depressin 26.466 0.339 78.111 0.000
## Age_BL 0.290 0.004 78.211 0.000
## Langug_BL 0.145 0.002 78.211 0.000
## Langg_FU1 0.145 0.002 77.836 0.000
## Mtrl_dprv 0.158 0.002 76.681 0.000
## Scl_dprvt 0.163 0.002 76.680 0.000
## Physcl_ct 0.683 0.009 74.691 0.000
## MatINT 0.109 0.001 73.308 0.000
## SocINT 0.115 0.002 73.309 0.000
##
##
## Group 4 [65+ M]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF_BL =~
## Vr_F_C.BL (a4) 1.000
## MAT_Sc.BL (b4) 1.278 0.005 273.622 0.000
## EF_FU1 =~
## V_F_C.FU1 (a4) 1.000
## MAT_S.FU1 (b4) 1.278 0.005 273.622 0.000
## MEM_BL =~
## COG_REYII (c4) 1.000
## COG_REYI_ (d4) 1.599 0.007 244.711 0.000
## MEM_FU1 =~
## COG_REYII (c4) 1.000
## COG_REYI_ (d4) 1.599 0.007 244.711 0.000
## EF_DELTA =~
## EF_FU1 1.000
## MEM_DELTA =~
## MEM_FU1 1.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## EF_FU1 ~
## EF_BL 1.000
## MEM_FU1 ~
## MEM_BL 1.000
## EF_DELTA ~
## EF_BL -0.165 0.025 -6.569 0.000
## MEM_DELTA ~
## MEM_BL -0.577 0.012 -47.572 0.000
## EF_DELTA ~
## Mltmrbd -0.052 0.026 -2.011 0.044
## Educatn 0.035 0.023 1.557 0.120
## Income -0.019 0.056 -0.345 0.730
## BMI 0.032 0.011 2.823 0.005
## Sorc.BL -0.487 0.098 -4.991 0.000
## White -0.069 0.238 -0.290 0.772
## Smoking -0.011 0.041 -0.271 0.787
## Alcohol 0.020 0.020 1.037 0.300
## Deprssn -0.001 0.012 -0.107 0.915
## EF_BL ~
## Mltmrbd 0.003 0.029 0.103 0.918
## Educatn 0.478 0.022 21.499 0.000
## Income 0.548 0.064 8.549 0.000
## BMI -0.009 0.013 -0.691 0.489
## Sorc.BL -0.092 0.113 -0.816 0.414
## White 2.324 0.261 8.918 0.000
## Smoking -0.088 0.047 -1.883 0.060
## Alcohol 0.170 0.022 7.709 0.000
## Deprssn -0.065 0.013 -4.877 0.000
## Age_BL -2.186 0.097 -22.469 0.000
## Lngg_BL -1.483 0.146 -10.184 0.000
## EF_DELTA ~
## Age_BL -0.555 0.100 -5.546 0.000
## Lng_FU1 0.038 0.131 0.293 0.770
## EF_BL ~
## Mtrl_dp (c111) -0.362 0.146 -2.481 0.013
## Scl_dpr (c121) 0.155 0.132 1.174 0.240
## Physcl_ (b11d) 0.268 0.085 3.156 0.002
## MatINT (int1) -0.161 0.204 -0.788 0.431
## SocINT (int2) -0.515 0.200 -2.578 0.010
## EF_DELTA ~
## Mtrl_dp (c211) 0.043 0.129 0.330 0.741
## Scl_dpr (c221) 0.013 0.116 0.108 0.914
## Physcl_ (b21d) 0.238 0.071 3.356 0.001
## MatINT (int3) -0.068 0.170 -0.396 0.692
## SocINT (int4) 0.217 0.168 1.290 0.197
## MEM_DELTA ~
## Mltmrbd -0.003 0.008 -0.447 0.655
## Educatn 0.034 0.006 5.853 0.000
## Income 0.081 0.016 5.000 0.000
## BMI 0.006 0.003 1.763 0.078
## Sorc.BL -0.250 0.029 -8.690 0.000
## White 0.050 0.068 0.738 0.461
## Smoking -0.022 0.012 -1.784 0.074
## Alcohol 0.017 0.006 2.993 0.003
## Deprssn -0.003 0.003 -0.852 0.394
## MEM_BL ~
## Mltmrbd -0.001 0.007 -0.074 0.941
## Educatn 0.062 0.005 11.979 0.000
## Income 0.100 0.015 6.651 0.000
## BMI 0.003 0.003 0.882 0.378
## Sorc.BL 0.108 0.026 4.147 0.000
## White 0.261 0.061 4.275 0.000
## Smoking -0.026 0.011 -2.364 0.018
## Alcohol 0.029 0.005 5.611 0.000
## Deprssn -0.016 0.003 -5.133 0.000
## Age_BL -0.511 0.023 -22.398 0.000
## Lngg_BL -0.152 0.034 -4.487 0.000
## MEM_DELTA ~
## Age_BL -0.399 0.026 -15.465 0.000
## Lng_FU1 0.057 0.037 1.528 0.126
## MEM_BL ~
## Mtrl_dp (c122) -0.017 0.024 -0.737 0.461
## Scl_dpr (c122) -0.017 0.024 -0.737 0.461
## Physcl_ (b12d) 0.084 0.020 4.202 0.000
## MatINT (int5) -0.027 0.048 -0.577 0.564
## SocINT (int6) -0.073 0.047 -1.559 0.119
## MEM_DELTA ~
## Mtrl_dp (c212) 0.007 0.038 0.191 0.849
## Scl_dpr (c222) 0.042 0.034 1.211 0.226
## Physcl_ (b22d) 0.097 0.021 4.601 0.000
## MatINT (int7) 0.063 0.050 1.252 0.211
## SocINT (int8) -0.094 0.050 -1.878 0.060
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Verbal_Fluency_Conservative.BL ~~
## .Vrbl_Fln_C.FU1 9.417 0.420 22.407 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 27.289 0.868 31.424 0.000
## .COG_REYI_SCORE.BL ~~
## .COG_REYI_SCORE 0.000
## .COG_REYII_SCORE.BL ~~
## .COG_REYII_SCOR 0.605 0.029 21.026 0.000
## .MEM_BL ~~
## .EF_DELTA 0.122 0.054 2.256 0.024
## .EF_BL ~~
## .MEM_DELTA 0.645 0.062 10.326 0.000
## .MEM_BL 1.394 0.060 23.111 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.330 0.050 6.624 0.000
## Multimorbidity ~~
## Education -0.522 0.060 -8.728 0.000
## Income -0.187 0.022 -8.396 0.000
## BMI 1.578 0.098 16.179 0.000
## Source.BL 0.028 0.011 2.658 0.008
## White 0.003 0.005 0.683 0.495
## Smoking 0.207 0.026 7.986 0.000
## Alcohol -0.471 0.056 -8.374 0.000
## Depression 1.673 0.094 17.809 0.000
## Age_BL 0.196 0.013 15.079 0.000
## Language_BL -0.003 0.008 -0.320 0.749
## Language_FU1 -0.002 0.008 -0.274 0.784
## Materil_dprvtn 0.045 0.009 5.051 0.000
## Social_deprvtn 0.044 0.009 4.733 0.000
## Physical_ctvty -0.277 0.017 -16.655 0.000
## MatINT 0.008 0.007 1.263 0.207
## SocINT -0.008 0.007 -1.100 0.271
## Education ~~
## Income 0.938 0.030 31.645 0.000
## BMI -1.234 0.121 -10.176 0.000
## Source.BL -0.150 0.014 -11.048 0.000
## White -0.029 0.006 -5.122 0.000
## Smoking -0.560 0.033 -16.955 0.000
## Alcohol 1.062 0.071 14.851 0.000
## Depression -0.944 0.115 -8.209 0.000
## Age_BL -0.155 0.016 -9.566 0.000
## Language_BL -0.062 0.010 -5.983 0.000
## Language_FU1 -0.061 0.010 -5.931 0.000
## Materil_dprvtn -0.296 0.012 -24.945 0.000
## Social_deprvtn -0.090 0.012 -7.534 0.000
## Physical_ctvty 0.128 0.021 6.161 0.000
## MatINT 0.013 0.009 1.548 0.122
## SocINT -0.004 0.009 -0.465 0.642
## Income ~~
## BMI -0.091 0.045 -2.009 0.045
## Source.BL -0.053 0.005 -10.496 0.000
## White 0.011 0.002 5.006 0.000
## Smoking -0.130 0.012 -10.618 0.000
## Alcohol 0.484 0.027 18.039 0.000
## Depression -0.643 0.043 -14.795 0.000
## Age_BL -0.052 0.006 -8.602 0.000
## Language_BL -0.048 0.004 -12.386 0.000
## Language_FU1 -0.048 0.004 -12.361 0.000
## Materil_dprvtn -0.125 0.004 -27.842 0.000
## Social_deprvtn -0.089 0.005 -19.677 0.000
## Physical_ctvty 0.086 0.008 11.178 0.000
## MatINT 0.001 0.003 0.365 0.715
## SocINT 0.009 0.003 2.656 0.008
## BMI ~~
## Source.BL -0.221 0.022 -10.084 0.000
## White 0.063 0.009 6.837 0.000
## Smoking 0.217 0.053 4.118 0.000
## Alcohol -0.757 0.114 -6.611 0.000
## Depression 0.527 0.185 2.843 0.004
## Age_BL -0.345 0.026 -13.063 0.000
## Language_BL 0.011 0.017 0.667 0.504
## Language_FU1 0.007 0.017 0.439 0.661
## Materil_dprvtn 0.100 0.019 5.378 0.000
## Social_deprvtn 0.038 0.019 1.985 0.047
## Physical_ctvty -0.281 0.034 -8.382 0.000
## MatINT -0.011 0.014 -0.783 0.434
## SocINT -0.012 0.014 -0.824 0.410
## Source.BL ~~
## White 0.001 0.001 0.609 0.542
## Smoking 0.024 0.006 4.094 0.000
## Alcohol -0.074 0.013 -5.836 0.000
## Depression 0.073 0.021 3.514 0.000
## Age_BL 0.017 0.003 5.713 0.000
## Language_BL -0.003 0.002 -1.390 0.165
## Language_FU1 -0.002 0.002 -0.813 0.416
## Materil_dprvtn 0.041 0.002 19.407 0.000
## Social_deprvtn 0.000 0.002 0.024 0.981
## Physical_ctvty -0.014 0.004 -3.766 0.000
## MatINT 0.002 0.002 1.121 0.262
## SocINT 0.001 0.002 0.502 0.616
## White ~~
## Smoking 0.013 0.002 5.249 0.000
## Alcohol 0.048 0.006 8.591 0.000
## Depression -0.017 0.009 -1.900 0.057
## Age_BL 0.002 0.001 1.882 0.060
## Language_BL 0.005 0.001 6.069 0.000
## Language_FU1 0.005 0.001 6.161 0.000
## Materil_dprvtn -0.003 0.001 -2.889 0.004
## Social_deprvtn 0.003 0.001 3.151 0.002
## Physical_ctvty 0.002 0.002 1.064 0.288
## MatINT 0.000 0.001 0.293 0.769
## SocINT 0.001 0.001 1.780 0.075
## Smoking ~~
## Alcohol 0.097 0.031 3.163 0.002
## Depression 0.353 0.050 7.058 0.000
## Age_BL -0.032 0.007 -4.554 0.000
## Language_BL 0.029 0.004 6.552 0.000
## Language_FU1 0.030 0.005 6.650 0.000
## Materil_dprvtn 0.049 0.005 9.883 0.000
## Social_deprvtn 0.050 0.005 9.737 0.000
## Physical_ctvty -0.066 0.009 -7.353 0.000
## MatINT -0.004 0.004 -0.957 0.339
## SocINT 0.001 0.004 0.377 0.706
## Alcohol ~~
## Depression -0.602 0.108 -5.549 0.000
## Age_BL -0.047 0.015 -3.100 0.002
## Language_BL 0.033 0.010 3.420 0.001
## Language_FU1 0.034 0.010 3.501 0.000
## Materil_dprvtn -0.151 0.011 -13.845 0.000
## Social_deprvtn -0.066 0.011 -5.904 0.000
## Physical_ctvty 0.138 0.019 7.097 0.000
## MatINT 0.007 0.008 0.932 0.351
## SocINT 0.002 0.008 0.266 0.790
## Depression ~~
## Age_BL 0.102 0.025 4.091 0.000
## Language_BL 0.024 0.016 1.517 0.129
## Language_FU1 0.029 0.016 1.809 0.070
## Materil_dprvtn 0.097 0.018 5.540 0.000
## Social_deprvtn 0.134 0.018 7.362 0.000
## Physical_ctvty -0.341 0.032 -10.634 0.000
## MatINT 0.002 0.013 0.177 0.859
## SocINT -0.021 0.013 -1.592 0.111
## Age_BL ~~
## Language_BL -0.003 0.002 -1.395 0.163
## Language_FU1 -0.003 0.002 -1.207 0.227
## Materil_dprvtn -0.004 0.002 -1.789 0.074
## Social_deprvtn 0.012 0.003 4.595 0.000
## Physical_ctvty -0.100 0.005 -21.820 0.000
## MatINT 0.001 0.002 0.747 0.455
## SocINT 0.001 0.002 0.770 0.442
## Language_BL ~~
## Language_FU1 0.130 0.002 65.547 0.000
## Materil_dprvtn 0.024 0.002 15.004 0.000
## Social_deprvtn 0.023 0.002 13.736 0.000
## Physical_ctvty -0.003 0.003 -1.111 0.267
## MatINT 0.001 0.001 0.670 0.503
## SocINT 0.001 0.001 0.897 0.370
## Language_FU1 ~~
## Materil_dprvtn 0.024 0.002 14.708 0.000
## Social_deprvtn 0.022 0.002 13.350 0.000
## Physical_ctvty -0.003 0.003 -1.101 0.271
## MatINT 0.001 0.001 0.482 0.630
## SocINT 0.001 0.001 0.895 0.371
## Material_deprivation ~~
## Social_deprvtn 0.011 0.002 5.929 0.000
## Physical_ctvty -0.008 0.003 -2.645 0.008
## MatINT -0.002 0.001 -1.465 0.143
## SocINT 0.000 0.001 0.287 0.774
## Social_deprivation ~~
## Physical_ctvty -0.030 0.003 -9.154 0.000
## MatINT 0.000 0.001 0.108 0.914
## SocINT 0.001 0.001 1.061 0.289
## Physical_activity ~~
## MatINT 0.013 0.002 6.027 0.000
## SocINT 0.019 0.002 8.412 0.000
## MatINT ~~
## SocINT 0.007 0.001 7.888 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (e4) 20.817 0.446 46.642 0.000
## .EF_FU1 0.000
## .MEM_BL (f4) 2.899 0.104 27.757 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL 0.000
## .V_F_C.FU1 0.000
## .MAT_Sc.BL 0.000
## .MAT_S.FU1 0.000
## .COG_REYII 0.000
## .COG_REYII 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (l4) 2.403 0.650 3.695 0.000
## .MEM_DELTA (n4) 1.910 0.120 15.928 0.000
## Mltmrbdty 2.893 0.022 129.448 0.000
## Education -0.829 0.028 -29.456 0.000
## Income -0.075 0.011 -7.093 0.000
## BMI 27.627 0.046 606.249 0.000
## Source.BL 1.354 0.005 266.289 0.000
## White 0.457 0.002 211.979 0.000
## Smoking -0.471 0.012 -38.383 0.000
## Alcohol -0.865 0.027 -32.518 0.000
## Depressin 0.580 0.043 13.400 0.000
## Age_BL 0.000 0.006 0.000 1.000
## Langug_BL 1.159 0.004 298.102 0.000
## Langg_FU1 1.158 0.004 297.370 0.000
## Mtrl_dprv 0.027 0.004 6.326 0.000
## Scl_dprvt 0.039 0.004 8.679 0.000
## Physcl_ct 0.031 0.008 3.992 0.000
## MatINT -0.006 0.003 -1.936 0.053
## SocINT -0.027 0.003 -8.430 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .EF_BL (g4) 9.969 0.391 25.468 0.000
## .EF_FU1 0.000
## .MEM_BL (h4) 1.226 0.021 57.102 0.000
## .MEM_FU1 0.000
## .Vr_F_C.BL (i4) 21.570 0.407 52.989 0.000
## .V_F_C.FU1 (i4) 21.570 0.407 52.989 0.000
## .MAT_Sc.BL (j4) 49.834 0.829 60.079 0.000
## .MAT_S.FU1 (j4) 49.834 0.829 60.079 0.000
## .COG_REYII (k4) 2.213 0.027 82.901 0.000
## .COG_REYII (k4) 2.213 0.027 82.901 0.000
## .COG_REYI_ 0.000
## .COG_REYI_ 0.000
## .EF_DELTA (m4) 1.260 0.307 4.102 0.000
## .MEM_DELTA (o4) 1.121 0.022 51.492 0.000
## Mltmrbdty 4.030 0.064 63.141 0.000
## Education 6.983 0.105 66.354 0.000
## Income 0.934 0.014 64.417 0.000
## BMI 18.305 0.276 66.369 0.000
## Source.BL 0.229 0.003 66.502 0.000
## White 0.041 0.001 66.502 0.000
## Smoking 1.320 0.020 66.250 0.000
## Alcohol 6.119 0.093 65.645 0.000
## Depressin 16.421 0.248 66.249 0.000
## Age_BL 0.330 0.005 66.502 0.000
## Langug_BL 0.134 0.002 66.502 0.000
## Langg_FU1 0.133 0.002 65.880 0.000
## Mtrl_dprv 0.158 0.002 64.875 0.000
## Scl_dprvt 0.168 0.003 64.916 0.000
## Physcl_ct 0.480 0.008 62.969 0.000
## MatINT 0.076 0.001 61.577 0.000
## SocINT 0.080 0.001 61.577 0.000
fitMeasures(mdl_int2_age_sex_fit, c("cfi","tli","rmsea","srmr"))
## cfi tli rmsea srmr
## 0.950 0.913 0.040 0.028
parameterEstimates(mdl_int2_age_sex_fit,standardized=TRUE,output="text",fmi=TRUE,remove.nonfree=TRUE)
##
##
## Group 1 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b1) 1.237 0.003 365.420 0.000 1.231 1.244
## EF_FU1 =~
## MAT_S.FU1 (b1) 1.237 0.003 365.420 0.000 1.231 1.244
## MEM_BL =~
## COG_REYI_ (d1) 1.402 0.003 402.393 0.000 1.395 1.409
## MEM_FU1 =~
## COG_REYI_ (d1) 1.402 0.003 402.393 0.000 1.395 1.409
## Std.lv Std.all FMI
##
## 5.184 0.596 0.065
##
## 4.401 0.533 0.065
##
## 1.871 1.000 0.094
##
## 2.019 1.000 0.094
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL -0.231 0.018 -13.020 0.000 -0.265 -0.196
## MEM_DELTA ~
## MEM_BL -0.572 0.010 -56.741 0.000 -0.592 -0.552
## EF_DELTA ~
## Mltmrbd -0.039 0.028 -1.431 0.153 -0.093 0.015
## Educatn 0.064 0.021 2.983 0.003 0.022 0.106
## Income 0.022 0.042 0.513 0.608 -0.061 0.104
## BMI -0.002 0.008 -0.231 0.817 -0.018 0.014
## Sorc.BL -0.525 0.080 -6.531 0.000 -0.683 -0.368
## White 0.548 0.186 2.954 0.003 0.184 0.912
## Smoking -0.006 0.029 -0.203 0.839 -0.062 0.050
## Alcohol 0.046 0.018 2.527 0.012 0.010 0.082
## Deprssn -0.004 0.009 -0.401 0.688 -0.021 0.014
## EF_BL ~
## Mltmrbd 0.001 0.035 0.039 0.969 -0.068 0.070
## Educatn 0.509 0.025 20.268 0.000 0.459 0.558
## Income 0.481 0.054 8.868 0.000 0.375 0.587
## BMI 0.002 0.011 0.197 0.844 -0.019 0.023
## Sorc.BL 0.017 0.105 0.159 0.874 -0.189 0.222
## White 4.109 0.215 19.083 0.000 3.687 4.531
## Smoking -0.089 0.036 -2.461 0.014 -0.160 -0.018
## Alcohol 0.121 0.024 5.114 0.000 0.075 0.168
## Deprssn -0.070 0.011 -6.091 0.000 -0.092 -0.047
## Age_BL -1.294 0.096 -13.461 0.000 -1.483 -1.106
## Lngg_BL -1.107 0.133 -8.296 0.000 -1.368 -0.845
## EF_DELTA ~
## Age_BL -0.407 0.077 -5.285 0.000 -0.558 -0.256
## Lng_FU1 0.029 0.102 0.280 0.779 -0.172 0.229
## EF_BL ~
## Mtrl_dp (c111) -0.618 0.141 -4.385 0.000 -0.895 -0.342
## Scl_dpr (c121) 0.029 0.130 0.227 0.821 -0.225 0.283
## Physcl_ (b11a) 0.089 0.061 1.469 0.142 -0.030 0.208
## MatINT (int1) 0.086 0.154 0.559 0.576 -0.216 0.387
## SocINT (int2) 0.304 0.144 2.103 0.035 0.021 0.587
## EF_DELTA ~
## Mtrl_dp (c211) 0.005 0.110 0.041 0.967 -0.210 0.219
## Scl_dpr (c221) 0.121 0.099 1.213 0.225 -0.074 0.316
## Physcl_ (b21a) 0.041 0.045 0.907 0.364 -0.048 0.129
## MatINT (int3) -0.010 0.117 -0.083 0.934 -0.238 0.219
## SocINT (int4) 0.184 0.109 1.689 0.091 -0.029 0.397
## MEM_DELTA ~
## Mltmrbd -0.013 0.009 -1.372 0.170 -0.031 0.005
## Educatn 0.068 0.007 10.222 0.000 0.055 0.081
## Income 0.029 0.014 2.057 0.040 0.001 0.057
## BMI -0.002 0.003 -0.894 0.371 -0.008 0.003
## Sorc.BL -0.407 0.027 -14.956 0.000 -0.461 -0.354
## White 0.338 0.058 5.795 0.000 0.224 0.452
## Smoking -0.036 0.010 -3.690 0.000 -0.055 -0.017
## Alcohol 0.014 0.006 2.188 0.029 0.001 0.026
## Deprssn -0.013 0.003 -4.157 0.000 -0.018 -0.007
## MEM_BL ~
## Mltmrbd -0.017 0.009 -1.961 0.050 -0.034 -0.000
## Educatn 0.088 0.006 14.159 0.000 0.076 0.100
## Income 0.070 0.013 5.175 0.000 0.043 0.096
## BMI -0.004 0.003 -1.448 0.148 -0.009 0.001
## Sorc.BL 0.004 0.026 0.168 0.867 -0.047 0.055
## White 0.386 0.054 7.218 0.000 0.281 0.491
## Smoking -0.015 0.009 -1.713 0.087 -0.033 0.002
## Alcohol 0.003 0.006 0.434 0.664 -0.009 0.014
## Deprssn -0.019 0.003 -6.622 0.000 -0.024 -0.013
## Age_BL -0.266 0.024 -11.171 0.000 -0.313 -0.220
## Lngg_BL -0.232 0.033 -7.047 0.000 -0.296 -0.167
## MEM_DELTA ~
## Age_BL -0.271 0.025 -10.774 0.000 -0.320 -0.222
## Lng_FU1 -0.067 0.034 -1.954 0.051 -0.134 0.000
## MEM_BL ~
## Mtrl_dp (c112) -0.188 0.035 -5.382 0.000 -0.257 -0.120
## Scl_dpr (c122) 0.013 0.032 0.409 0.683 -0.050 0.076
## Physcl_ (b12a) 0.022 0.015 1.488 0.137 -0.007 0.052
## MatINT (int5) -0.033 0.038 -0.872 0.383 -0.108 0.042
## SocINT (int6) 0.014 0.036 0.395 0.693 -0.056 0.085
## MEM_DELTA ~
## Mtrl_dp (c212) -0.112 0.037 -3.032 0.002 -0.184 -0.040
## Scl_dpr (c222) -0.002 0.034 -0.067 0.947 -0.068 0.064
## Physcl_ (b22a) 0.039 0.015 2.574 0.010 0.009 0.069
## MatINT (int7) 0.011 0.039 0.285 0.776 -0.066 0.088
## SocINT (int8) 0.055 0.037 1.510 0.131 -0.017 0.127
## Std.lv Std.all FMI
##
## -0.727 -0.727 0.233
##
## -0.528 -0.528 0.218
##
## -0.030 -0.047 0.294
## 0.048 0.106 0.239
## 0.016 0.018 0.245
## -0.001 -0.007 0.226
## -0.395 -0.190 0.229
## 0.412 0.097 0.274
## -0.004 -0.006 0.276
## 0.035 0.077 0.242
## -0.003 -0.012 0.249
##
## 0.000 0.001 0.085
## 0.121 0.268 0.036
## 0.115 0.129 0.073
## 0.000 0.002 0.035
## 0.004 0.002 0.034
## 0.981 0.230 0.041
## -0.021 -0.031 0.036
## 0.029 0.064 0.049
## -0.017 -0.076 0.037
## -0.309 -0.168 0.034
## -0.264 -0.100 0.029
##
## -0.306 -0.167 0.224
## 0.022 0.008 0.207
##
## -0.148 -0.058 0.074
## 0.007 0.003 0.073
## 0.021 0.019 0.118
## 0.021 0.007 0.163
## 0.072 0.027 0.154
##
## 0.003 0.001 0.271
## 0.091 0.037 0.259
## 0.031 0.027 0.252
## -0.007 -0.003 0.314
## 0.138 0.051 0.296
##
## -0.009 -0.014 0.260
## 0.047 0.104 0.217
## 0.020 0.023 0.228
## -0.002 -0.008 0.206
## -0.282 -0.135 0.199
## 0.234 0.055 0.264
## -0.025 -0.036 0.253
## 0.009 0.021 0.217
## -0.009 -0.040 0.223
##
## -0.013 -0.020 0.093
## 0.066 0.145 0.044
## 0.052 0.059 0.080
## -0.003 -0.014 0.041
## 0.003 0.002 0.045
## 0.289 0.068 0.053
## -0.011 -0.017 0.043
## 0.002 0.004 0.060
## -0.014 -0.064 0.040
## -0.200 -0.109 0.043
## -0.174 -0.066 0.028
##
## -0.188 -0.102 0.200
## -0.046 -0.018 0.179
##
## -0.141 -0.055 0.084
## 0.010 0.004 0.081
## 0.017 0.015 0.134
## -0.025 -0.009 0.174
## 0.011 0.004 0.168
##
## -0.078 -0.030 0.243
## -0.002 -0.001 0.232
## 0.027 0.024 0.227
## 0.008 0.003 0.281
## 0.038 0.014 0.269
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 11.631 0.410 28.339 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 26.385 0.735 35.888 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.600 0.024 25.357 0.000
## .MEM_BL ~~
## .EF_DELTA 0.142 0.050 2.817 0.005
## .EF_BL ~~
## .MEM_DELTA 0.781 0.065 12.014 0.000
## .MEM_BL 1.493 0.065 23.025 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.335 0.047 7.103 0.000
## Multimorbidity ~~
## Education -0.489 0.034 -14.569 0.000
## Income -0.318 0.018 -18.087 0.000
## BMI 1.931 0.077 25.216 0.000
## Source.BL 0.004 0.007 0.575 0.565
## White 0.004 0.004 1.046 0.296
## Smoking 0.311 0.022 14.096 0.000
## Alcohol -0.440 0.034 -12.897 0.000
## Depression 1.587 0.071 22.306 0.000
## Age_BL 0.203 0.008 24.107 0.000
## Language_BL -0.013 0.006 -2.222 0.026
## Language_FU1 -0.013 0.006 -2.213 0.027
## Materil_dprvtn 0.054 0.006 9.000 0.000
## Social_deprvtn 0.041 0.006 6.560 0.000
## Physical_ctvty -0.207 0.014 -14.659 0.000
## MatINT -0.035 0.006 -6.166 0.000
## SocINT -0.034 0.006 -5.703 0.000
## Education ~~
## Income 0.856 0.025 34.588 0.000
## BMI -1.243 0.101 -12.243 0.000
## Source.BL -0.138 0.010 -13.869 0.000
## White -0.024 0.005 -4.948 0.000
## Smoking -0.858 0.031 -27.822 0.000
## Alcohol 0.593 0.046 12.818 0.000
## Depression -1.411 0.095 -14.850 0.000
## Age_BL -0.047 0.011 -4.245 0.000
## Language_BL -0.032 0.008 -4.125 0.000
## Language_FU1 -0.031 0.008 -3.915 0.000
## Materil_dprvtn -0.237 0.008 -27.996 0.000
## Social_deprvtn -0.088 0.009 -10.259 0.000
## Physical_ctvty -0.051 0.019 -2.686 0.007
## MatINT 0.001 0.008 0.117 0.907
## SocINT 0.005 0.008 0.654 0.513
## Income ~~
## BMI -0.113 0.052 -2.170 0.030
## Source.BL -0.049 0.005 -9.663 0.000
## White 0.020 0.003 7.817 0.000
## Smoking -0.358 0.016 -22.582 0.000
## Alcohol 0.567 0.024 23.236 0.000
## Depression -1.239 0.050 -24.659 0.000
## Age_BL -0.103 0.006 -17.469 0.000
## Language_BL -0.056 0.004 -13.724 0.000
## Language_FU1 -0.054 0.004 -13.282 0.000
## Materil_dprvtn -0.136 0.004 -30.695 0.000
## Social_deprvtn -0.139 0.005 -29.978 0.000
## Physical_ctvty 0.157 0.010 15.720 0.000
## MatINT 0.006 0.004 1.518 0.129
## SocINT 0.023 0.004 5.458 0.000
## BMI ~~
## Source.BL -0.102 0.022 -4.663 0.000
## White 0.069 0.011 6.447 0.000
## Smoking -0.060 0.066 -0.907 0.364
## Alcohol -1.338 0.103 -12.974 0.000
## Depression 1.488 0.210 7.073 0.000
## Age_BL 0.100 0.025 3.994 0.000
## Language_BL -0.078 0.017 -4.500 0.000
## Language_FU1 -0.078 0.017 -4.467 0.000
## Materil_dprvtn 0.145 0.018 7.920 0.000
## Social_deprvtn -0.028 0.019 -1.474 0.140
## Physical_ctvty -0.333 0.043 -7.803 0.000
## MatINT -0.023 0.017 -1.382 0.167
## SocINT -0.064 0.018 -3.537 0.000
## Source.BL ~~
## White 0.001 0.001 1.024 0.306
## Smoking 0.037 0.006 5.689 0.000
## Alcohol -0.055 0.010 -5.501 0.000
## Depression 0.052 0.020 2.549 0.011
## Age_BL -0.007 0.002 -2.682 0.007
## Language_BL -0.003 0.002 -1.524 0.127
## Language_FU1 -0.003 0.002 -1.627 0.104
## Materil_dprvtn 0.036 0.002 20.024 0.000
## Social_deprvtn 0.002 0.002 1.108 0.268
## Physical_ctvty 0.011 0.004 2.754 0.006
## MatINT 0.004 0.002 2.541 0.011
## SocINT 0.002 0.002 1.140 0.254
## White ~~
## Smoking 0.010 0.003 3.215 0.001
## Alcohol 0.080 0.005 15.655 0.000
## Depression -0.023 0.010 -2.292 0.022
## Age_BL 0.009 0.001 7.860 0.000
## Language_BL 0.001 0.001 1.584 0.113
## Language_FU1 0.002 0.001 1.941 0.052
## Materil_dprvtn -0.006 0.001 -6.653 0.000
## Social_deprvtn 0.002 0.001 2.349 0.019
## Physical_ctvty 0.006 0.002 3.046 0.002
## MatINT -0.000 0.001 -0.113 0.910
## SocINT -0.002 0.001 -2.303 0.021
## Smoking ~~
## Alcohol 0.088 0.030 2.898 0.004
## Depression 0.844 0.062 13.507 0.000
## Age_BL 0.062 0.007 8.356 0.000
## Language_BL 0.051 0.005 9.997 0.000
## Language_FU1 0.051 0.005 9.908 0.000
## Materil_dprvtn 0.091 0.005 16.722 0.000
## Social_deprvtn 0.081 0.006 14.130 0.000
## Physical_ctvty -0.058 0.013 -4.521 0.000
## MatINT -0.002 0.005 -0.398 0.690
## SocINT 0.003 0.005 0.521 0.602
## Alcohol ~~
## Depression -1.256 0.096 -13.059 0.000
## Age_BL 0.056 0.011 4.927 0.000
## Language_BL 0.046 0.008 5.828 0.000
## Language_FU1 0.049 0.008 6.189 0.000
## Materil_dprvtn -0.126 0.008 -15.028 0.000
## Social_deprvtn -0.058 0.009 -6.675 0.000
## Physical_ctvty 0.127 0.019 6.556 0.000
## MatINT 0.011 0.008 1.471 0.141
## SocINT 0.031 0.008 3.798 0.000
## Depression ~~
## Age_BL -0.073 0.023 -3.140 0.002
## Language_BL -0.043 0.016 -2.681 0.007
## Language_FU1 -0.046 0.016 -2.847 0.004
## Materil_dprvtn 0.148 0.017 8.632 0.000
## Social_deprvtn 0.243 0.018 13.515 0.000
## Physical_ctvty -0.507 0.040 -12.712 0.000
## MatINT -0.068 0.016 -4.262 0.000
## SocINT -0.098 0.017 -5.835 0.000
## Age_BL ~~
## Language_BL -0.004 0.002 -2.035 0.042
## Language_FU1 -0.004 0.002 -2.224 0.026
## Materil_dprvtn -0.005 0.002 -2.293 0.022
## Social_deprvtn -0.003 0.002 -1.407 0.159
## Physical_ctvty -0.080 0.005 -16.849 0.000
## MatINT -0.003 0.002 -1.483 0.138
## SocINT -0.005 0.002 -2.543 0.011
## Language_BL ~~
## Language_FU1 0.142 0.002 75.314 0.000
## Materil_dprvtn 0.023 0.001 15.852 0.000
## Social_deprvtn 0.021 0.001 14.464 0.000
## Physical_ctvty -0.010 0.003 -3.076 0.002
## MatINT 0.003 0.001 2.330 0.020
## SocINT 0.002 0.001 1.560 0.119
## Language_FU1 ~~
## Materil_dprvtn 0.022 0.001 15.473 0.000
## Social_deprvtn 0.021 0.001 14.366 0.000
## Physical_ctvty -0.010 0.003 -3.228 0.001
## MatINT 0.003 0.001 2.133 0.033
## SocINT 0.002 0.001 1.391 0.164
## Material_deprivation ~~
## Social_deprvtn 0.013 0.002 8.236 0.000
## Physical_ctvty -0.002 0.003 -0.588 0.557
## MatINT 0.007 0.001 5.102 0.000
## SocINT 0.002 0.001 1.111 0.266
## Social_deprivation ~~
## Physical_ctvty -0.025 0.004 -6.935 0.000
## MatINT 0.001 0.001 0.788 0.431
## SocINT 0.001 0.001 0.815 0.415
## Physical_activity ~~
## MatINT 0.027 0.003 8.895 0.000
## SocINT 0.031 0.003 9.474 0.000
## MatINT ~~
## SocINT 0.009 0.001 6.994 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 10.826 12.435 11.631 0.459 0.135
##
## 24.944 27.825 26.385 0.541 0.143
##
## 0.553 0.646 0.600 0.276 0.211
##
## 0.043 0.241 0.114 0.114 0.234
##
## 0.654 0.908 0.179 0.179 0.209
## 1.366 1.621 0.328 0.328 0.052
##
## 0.243 0.427 0.280 0.280 0.237
##
## -0.554 -0.423 -0.489 -0.140 0.048
## -0.352 -0.283 -0.318 -0.178 0.081
## 1.781 2.082 1.931 0.249 0.058
## -0.010 0.018 0.004 0.005 0.036
## -0.003 0.011 0.004 0.010 0.051
## 0.268 0.355 0.311 0.136 0.051
## -0.507 -0.373 -0.440 -0.125 0.069
## 1.448 1.727 1.587 0.219 0.061
## 0.186 0.219 0.203 0.235 0.041
## -0.024 -0.001 -0.013 -0.021 0.045
## -0.024 -0.001 -0.013 -0.021 0.052
## 0.043 0.066 0.054 0.088 0.083
## 0.029 0.054 0.041 0.064 0.080
## -0.234 -0.179 -0.207 -0.148 0.130
## -0.046 -0.024 -0.035 -0.064 0.184
## -0.046 -0.022 -0.034 -0.059 0.180
##
## 0.808 0.905 0.856 0.344 0.025
## -1.441 -1.044 -1.243 -0.115 0.006
## -0.157 -0.118 -0.138 -0.130 0.001
## -0.033 -0.014 -0.024 -0.046 0.004
## -0.919 -0.798 -0.858 -0.269 0.006
## 0.503 0.684 0.593 0.121 0.020
## -1.597 -1.224 -1.411 -0.140 0.005
## -0.069 -0.026 -0.047 -0.040 0.001
## -0.047 -0.017 -0.032 -0.038 0.002
## -0.046 -0.015 -0.031 -0.037 0.008
## -0.254 -0.221 -0.237 -0.274 0.031
## -0.105 -0.071 -0.088 -0.098 0.035
## -0.089 -0.014 -0.051 -0.026 0.105
## -0.014 0.016 0.001 0.001 0.146
## -0.011 0.021 0.005 0.007 0.145
##
## -0.216 -0.011 -0.113 -0.020 0.028
## -0.060 -0.039 -0.049 -0.091 0.024
## 0.015 0.025 0.020 0.074 0.033
## -0.389 -0.327 -0.358 -0.219 0.034
## 0.519 0.615 0.567 0.226 0.042
## -1.337 -1.140 -1.239 -0.240 0.033
## -0.114 -0.091 -0.103 -0.167 0.024
## -0.064 -0.048 -0.056 -0.130 0.026
## -0.062 -0.046 -0.054 -0.126 0.031
## -0.145 -0.127 -0.136 -0.307 0.056
## -0.148 -0.130 -0.139 -0.300 0.057
## 0.137 0.177 0.157 0.157 0.114
## -0.002 0.014 0.006 0.015 0.163
## 0.015 0.031 0.023 0.055 0.161
##
## -0.145 -0.059 -0.102 -0.043 0.002
## 0.048 0.090 0.069 0.060 0.004
## -0.191 0.070 -0.060 -0.008 0.009
## -1.541 -1.136 -1.338 -0.123 0.022
## 1.076 1.900 1.488 0.066 0.009
## 0.051 0.148 0.100 0.037 0.003
## -0.112 -0.044 -0.078 -0.042 0.004
## -0.112 -0.044 -0.078 -0.042 0.009
## 0.109 0.181 0.145 0.075 0.037
## -0.066 0.009 -0.028 -0.014 0.039
## -0.416 -0.249 -0.333 -0.077 0.099
## -0.057 0.010 -0.023 -0.014 0.140
## -0.099 -0.028 -0.064 -0.036 0.141
##
## -0.001 0.003 0.001 0.010 -0.000
## 0.024 0.050 0.037 0.053 0.004
## -0.075 -0.035 -0.055 -0.052 0.017
## 0.012 0.092 0.052 0.024 0.003
## -0.011 -0.002 -0.007 -0.025 -0.000
## -0.006 0.001 -0.003 -0.014 -0.000
## -0.006 0.001 -0.003 -0.015 0.006
## 0.033 0.040 0.036 0.193 0.035
## -0.002 0.006 0.002 0.011 0.039
## 0.003 0.020 0.011 0.027 0.103
## 0.001 0.008 0.004 0.026 0.148
## -0.001 0.005 0.002 0.011 0.148
##
## 0.004 0.016 0.010 0.030 0.006
## 0.070 0.090 0.080 0.154 0.082
## -0.043 -0.003 -0.023 -0.021 0.009
## 0.007 0.012 0.009 0.073 -0.000
## -0.000 0.003 0.001 0.015 -0.000
## -0.000 0.003 0.002 0.018 0.008
## -0.008 -0.004 -0.006 -0.063 0.032
## 0.000 0.004 0.002 0.022 0.034
## 0.002 0.010 0.006 0.030 0.127
## -0.002 0.002 -0.000 -0.001 0.169
## -0.004 -0.000 -0.002 -0.023 0.169
##
## 0.028 0.147 0.088 0.027 0.023
## 0.721 0.966 0.844 0.127 0.007
## 0.047 0.076 0.062 0.078 0.004
## 0.041 0.061 0.051 0.093 0.003
## 0.041 0.061 0.051 0.093 0.010
## 0.081 0.102 0.091 0.161 0.038
## 0.069 0.092 0.081 0.135 0.042
## -0.082 -0.033 -0.058 -0.045 0.120
## -0.012 0.008 -0.002 -0.004 0.164
## -0.008 0.013 0.003 0.005 0.164
##
## -1.445 -1.068 -1.256 -0.124 0.020
## 0.034 0.078 0.056 0.046 0.019
## 0.031 0.061 0.046 0.055 0.013
## 0.034 0.065 0.049 0.058 0.018
## -0.143 -0.110 -0.126 -0.145 0.051
## -0.075 -0.041 -0.058 -0.064 0.050
## 0.089 0.165 0.127 0.065 0.106
## -0.004 0.026 0.011 0.015 0.147
## 0.015 0.047 0.031 0.038 0.142
##
## -0.119 -0.027 -0.073 -0.029 0.003
## -0.075 -0.012 -0.043 -0.025 0.002
## -0.078 -0.014 -0.046 -0.027 0.008
## 0.114 0.181 0.148 0.082 0.040
## 0.208 0.279 0.243 0.129 0.041
## -0.585 -0.429 -0.507 -0.125 0.093
## -0.099 -0.037 -0.068 -0.043 0.145
## -0.131 -0.065 -0.098 -0.059 0.139
##
## -0.008 -0.000 -0.004 -0.019 -0.000
## -0.008 -0.001 -0.004 -0.021 0.004
## -0.009 -0.001 -0.005 -0.022 0.032
## -0.007 0.001 -0.003 -0.013 0.035
## -0.089 -0.071 -0.080 -0.166 0.080
## -0.006 0.001 -0.003 -0.015 0.122
## -0.009 -0.001 -0.005 -0.025 0.122
##
## 0.138 0.145 0.142 0.983 0.002
## 0.020 0.025 0.023 0.151 0.031
## 0.019 0.024 0.021 0.138 0.033
## -0.016 -0.004 -0.010 -0.030 0.066
## 0.000 0.006 0.003 0.023 0.106
## -0.001 0.005 0.002 0.015 0.105
##
## 0.019 0.025 0.022 0.148 0.037
## 0.019 0.024 0.021 0.137 0.038
## -0.017 -0.004 -0.010 -0.031 0.070
## 0.000 0.005 0.003 0.021 0.111
## -0.001 0.005 0.002 0.014 0.109
##
## 0.010 0.016 0.013 0.078 0.039
## -0.009 0.005 -0.002 -0.006 0.131
## 0.004 0.010 0.007 0.051 0.142
## -0.001 0.004 0.002 0.011 0.142
##
## -0.032 -0.018 -0.025 -0.069 0.119
## -0.002 0.004 0.001 0.008 0.128
## -0.002 0.004 0.001 0.008 0.127
##
## 0.021 0.033 0.027 0.089 0.125
## 0.024 0.037 0.031 0.095 0.124
##
## 0.006 0.011 0.009 0.070 0.122
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e1) 23.264 0.383 60.688 0.000 22.512 24.015
## .MEM_BL (f1) 4.539 0.095 47.671 0.000 4.353 4.726
## .EF_DELTA (l1) 5.633 0.505 11.146 0.000 4.642 6.623
## .MEM_DELTA (n1) 3.408 0.110 31.040 0.000 3.192 3.623
## Mltmrbdty 1.653 0.015 109.995 0.000 1.624 1.683
## Education -0.498 0.021 -24.277 0.000 -0.538 -0.458
## Income -0.459 0.011 -43.247 0.000 -0.480 -0.439
## BMI 28.329 0.046 619.954 0.000 28.240 28.419
## Source.BL 1.361 0.004 304.769 0.000 1.352 1.370
## White 0.442 0.002 202.808 0.000 0.437 0.446
## Smoking 0.493 0.014 36.457 0.000 0.466 0.519
## Alcohol -1.048 0.021 -50.334 0.000 -1.089 -1.007
## Depressin 1.119 0.043 26.240 0.000 1.035 1.203
## Age_BL -0.000 0.005 -0.000 1.000 -0.010 0.010
## Langug_BL 1.174 0.004 333.162 0.000 1.167 1.181
## Langg_FU1 1.175 0.004 331.655 0.000 1.168 1.182
## Mtrl_dprv 0.026 0.004 6.938 0.000 0.018 0.033
## Scl_dprvt 0.030 0.004 7.638 0.000 0.022 0.037
## Physcl_ct 0.079 0.009 9.209 0.000 0.062 0.096
## MatINT -0.001 0.003 -0.255 0.799 -0.008 0.006
## SocINT -0.022 0.004 -6.046 0.000 -0.029 -0.015
## Std.lv Std.all FMI
## 5.552 5.552 0.034
## 3.402 3.402 0.039
## 4.237 4.237 0.232
## 2.360 2.360 0.204
## 1.653 1.045 0.043
## -0.498 -0.226 0.001
## -0.459 -0.407 0.025
## 28.329 5.774 0.003
## 1.361 2.834 -0.000
## 0.442 1.886 -0.000
## 0.493 0.340 0.004
## -1.048 -0.472 0.017
## 1.119 0.244 0.003
## -0.000 -0.000 -0.000
## 1.174 3.098 -0.000
## 1.175 3.091 0.005
## 0.026 0.066 0.032
## 0.030 0.072 0.035
## 0.079 0.089 0.084
## -0.001 -0.003 0.125
## -0.022 -0.060 0.125
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g1) 12.691 0.394 32.173 0.000 11.918 13.464
## .MEM_BL (h1) 1.633 0.023 69.782 0.000 1.587 1.678
## Vr_F_C.BL (i1) 25.357 0.403 62.972 0.000 24.567 26.146
## V_F_C.FU1 (i1) 25.357 0.403 62.972 0.000 24.567 26.146
## .MAT_Sc.BL (j1) 48.792 0.713 68.425 0.000 47.394 50.189
## .MAT_S.FU1 (j1) 48.792 0.713 68.425 0.000 47.394 50.189
## COG_REYII (k1) 2.174 0.022 97.398 0.000 2.130 2.218
## COG_REYII (k1) 2.174 0.022 97.398 0.000 2.130 2.218
## .EF_DELTA (m1) 0.955 0.256 3.727 0.000 0.453 1.457
## .MEM_DELTA (o1) 1.499 0.023 64.631 0.000 1.453 1.544
## Mltmrbdty 2.501 0.034 73.887 0.000 2.435 2.568
## Education 4.856 0.064 75.990 0.000 4.731 4.981
## Income 1.273 0.017 74.695 0.000 1.239 1.306
## BMI 24.073 0.317 75.881 0.000 23.451 24.694
## Source.BL 0.231 0.003 76.049 0.000 0.225 0.237
## White 0.055 0.001 76.049 0.000 0.053 0.056
## Smoking 2.102 0.028 75.861 0.000 2.048 2.157
## Alcohol 4.929 0.066 75.145 0.000 4.800 5.057
## Depressin 20.971 0.276 75.900 0.000 20.429 21.512
## Age_BL 0.297 0.004 76.049 0.000 0.289 0.305
## Langug_BL 0.144 0.002 76.049 0.000 0.140 0.147
## Langg_FU1 0.145 0.002 75.765 0.000 0.141 0.148
## Mtrl_dprv 0.154 0.002 74.528 0.000 0.150 0.158
## Scl_dprvt 0.168 0.002 74.528 0.000 0.164 0.173
## Physcl_ct 0.783 0.011 72.620 0.000 0.762 0.804
## MatINT 0.119 0.002 71.245 0.000 0.116 0.122
## SocINT 0.134 0.002 71.246 0.000 0.130 0.138
## Std.lv Std.all FMI
## 0.723 0.723 0.050
## 0.917 0.917 0.048
## 25.357 0.591 0.089
## 25.357 0.667 0.089
## 48.792 0.645 0.079
## 48.792 0.716 0.079
## 2.174 0.550 0.116
## 2.174 0.512 0.116
## 0.540 0.540 0.251
## 0.719 0.719 0.186
## 2.501 1.000 0.056
## 4.856 1.000 0.001
## 1.273 1.000 0.035
## 24.073 1.000 0.004
## 0.231 1.000 -0.000
## 0.055 1.000 -0.000
## 2.102 1.000 0.005
## 4.929 1.000 0.024
## 20.971 1.000 0.004
## 0.297 1.000 -0.000
## 0.144 1.000 -0.000
## 0.145 1.000 0.007
## 0.154 1.000 0.040
## 0.168 1.000 0.040
## 0.783 1.000 0.088
## 0.119 1.000 0.122
## 0.134 1.000 0.122
##
##
## Group 2 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b2) 1.243 0.004 283.303 0.000 1.234 1.251
## EF_FU1 =~
## MAT_S.FU1 (b2) 1.243 0.004 283.303 0.000 1.234 1.251
## MEM_BL =~
## COG_REYI_ (d2) 1.399 0.005 309.600 0.000 1.391 1.408
## MEM_FU1 =~
## COG_REYI_ (d2) 1.399 0.005 309.600 0.000 1.391 1.408
## Std.lv Std.all FMI
##
## 4.967 0.594 0.104
##
## 4.498 0.556 0.104
##
## 2.078 1.000 0.133
##
## 2.239 1.000 0.133
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL -0.206 0.023 -8.874 0.000 -0.251 -0.160
## MEM_DELTA ~
## MEM_BL -0.576 0.012 -46.439 0.000 -0.600 -0.551
## EF_DELTA ~
## Mltmrbd 0.024 0.024 0.992 0.321 -0.023 0.071
## Educatn 0.014 0.022 0.657 0.511 -0.029 0.058
## Income 0.056 0.058 0.975 0.329 -0.057 0.169
## BMI 0.026 0.008 3.162 0.002 0.010 0.042
## Sorc.BL -0.622 0.091 -6.825 0.000 -0.801 -0.444
## White 0.323 0.291 1.110 0.267 -0.247 0.894
## Smoking -0.039 0.036 -1.074 0.283 -0.110 0.032
## Alcohol 0.057 0.019 2.918 0.004 0.019 0.095
## Deprssn -0.014 0.010 -1.404 0.160 -0.033 0.005
## EF_BL ~
## Mltmrbd -0.055 0.028 -1.984 0.047 -0.110 -0.001
## Educatn 0.502 0.022 22.863 0.000 0.459 0.546
## Income 0.307 0.069 4.461 0.000 0.172 0.442
## BMI 0.018 0.010 1.886 0.059 -0.001 0.037
## Sorc.BL 0.057 0.107 0.528 0.597 -0.154 0.267
## White 2.713 0.321 8.442 0.000 2.083 3.343
## Smoking -0.046 0.041 -1.119 0.263 -0.127 0.035
## Alcohol 0.088 0.023 3.893 0.000 0.044 0.133
## Deprssn -0.087 0.011 -7.757 0.000 -0.109 -0.065
## Age_BL -1.942 0.094 -20.675 0.000 -2.126 -1.758
## Lngg_BL -1.267 0.137 -9.241 0.000 -1.536 -0.998
## EF_DELTA ~
## Age_BL -0.775 0.091 -8.472 0.000 -0.954 -0.596
## Lng_FU1 -0.237 0.118 -2.001 0.045 -0.468 -0.005
## EF_BL ~
## Mtrl_dp (c111) -0.504 0.139 -3.636 0.000 -0.775 -0.232
## Scl_dpr (c121) 0.058 0.133 0.434 0.664 -0.203 0.318
## Physcl_ (b11b) 0.493 0.092 5.334 0.000 0.312 0.674
## MatINT (int1) 0.110 0.214 0.513 0.608 -0.310 0.530
## SocINT (int2) -0.014 0.221 -0.064 0.949 -0.447 0.418
## EF_DELTA ~
## Mtrl_dp (c211) 0.008 0.118 0.063 0.949 -0.224 0.239
## Scl_dpr (c221) -0.036 0.112 -0.318 0.750 -0.256 0.185
## Physcl_ (b21b) 0.199 0.075 2.642 0.008 0.051 0.347
## MatINT (int3) -0.316 0.175 -1.803 0.071 -0.659 0.027
## SocINT (int4) -0.038 0.180 -0.212 0.832 -0.390 0.314
## MEM_DELTA ~
## Mltmrbd -0.009 0.009 -0.991 0.322 -0.028 0.009
## Educatn 0.037 0.008 4.954 0.000 0.023 0.052
## Income 0.083 0.023 3.633 0.000 0.038 0.128
## BMI 0.000 0.003 0.127 0.899 -0.006 0.007
## Sorc.BL -0.169 0.036 -4.670 0.000 -0.240 -0.098
## White 0.316 0.111 2.849 0.004 0.099 0.534
## Smoking -0.022 0.014 -1.525 0.127 -0.050 0.006
## Alcohol 0.006 0.008 0.772 0.440 -0.009 0.021
## Deprssn -0.008 0.004 -2.068 0.039 -0.015 -0.000
## MEM_BL ~
## Mltmrbd -0.008 0.008 -0.910 0.363 -0.024 0.009
## Educatn 0.090 0.007 13.546 0.000 0.077 0.103
## Income 0.074 0.021 3.544 0.000 0.033 0.115
## BMI 0.007 0.003 2.436 0.015 0.001 0.013
## Sorc.BL 0.386 0.032 11.877 0.000 0.322 0.449
## White 0.289 0.097 2.976 0.003 0.099 0.479
## Smoking -0.030 0.012 -2.391 0.017 -0.054 -0.005
## Alcohol 0.022 0.007 3.129 0.002 0.008 0.035
## Deprssn -0.016 0.003 -4.708 0.000 -0.022 -0.009
## Age_BL -0.505 0.028 -17.795 0.000 -0.561 -0.449
## Lngg_BL -0.125 0.041 -3.036 0.002 -0.205 -0.044
## MEM_DELTA ~
## Age_BL -0.539 0.032 -16.753 0.000 -0.602 -0.476
## Lng_FU1 0.018 0.045 0.403 0.687 -0.070 0.107
## MEM_BL ~
## Mtrl_dp (c112) 0.009 0.042 0.227 0.820 -0.072 0.091
## Scl_dpr (c122) -0.043 0.040 -1.076 0.282 -0.122 0.035
## Physcl_ (b12b) 0.167 0.028 5.982 0.000 0.112 0.222
## MatINT (int5) -0.066 0.065 -1.014 0.311 -0.192 0.061
## SocINT (int6) 0.023 0.066 0.353 0.724 -0.107 0.153
## MEM_DELTA ~
## Mtrl_dp (c212) -0.011 0.046 -0.233 0.816 -0.102 0.080
## Scl_dpr (c222) -0.050 0.044 -1.133 0.257 -0.138 0.037
## Physcl_ (b22b) 0.145 0.029 4.926 0.000 0.087 0.203
## MatINT (int7) 0.087 0.069 1.266 0.205 -0.048 0.222
## SocINT (int8) -0.000 0.071 -0.003 0.997 -0.139 0.139
## Std.lv Std.all FMI
##
## -0.709 -0.709 0.317
##
## -0.538 -0.538 0.317
##
## 0.021 0.043 0.393
## 0.012 0.032 0.308
## 0.048 0.044 0.346
## 0.022 0.126 0.314
## -0.537 -0.259 0.295
## 0.279 0.044 0.346
## -0.034 -0.042 0.343
## 0.049 0.120 0.331
## -0.012 -0.055 0.303
##
## -0.014 -0.029 0.152
## 0.126 0.321 0.054
## 0.077 0.070 0.158
## 0.005 0.025 0.051
## 0.014 0.007 0.047
## 0.679 0.107 0.044
## -0.012 -0.015 0.056
## 0.022 0.054 0.092
## -0.022 -0.102 0.055
## -0.486 -0.284 0.050
## -0.317 -0.120 0.040
##
## -0.668 -0.391 0.301
## -0.204 -0.077 0.273
##
## -0.126 -0.052 0.104
## 0.014 0.006 0.105
## 0.123 0.077 0.152
## 0.027 0.007 0.201
## -0.004 -0.001 0.200
##
## 0.006 0.003 0.338
## -0.031 -0.013 0.330
## 0.172 0.107 0.304
## -0.272 -0.070 0.361
## -0.033 -0.008 0.356
##
## -0.006 -0.012 0.383
## 0.023 0.060 0.302
## 0.052 0.048 0.351
## 0.000 0.001 0.299
## -0.106 -0.051 0.279
## 0.199 0.031 0.323
## -0.014 -0.017 0.329
## 0.004 0.009 0.320
## -0.005 -0.023 0.288
##
## -0.005 -0.011 0.154
## 0.060 0.154 0.058
## 0.050 0.045 0.177
## 0.005 0.027 0.071
## 0.260 0.125 0.062
## 0.195 0.031 0.058
## -0.020 -0.025 0.062
## 0.015 0.036 0.113
## -0.011 -0.050 0.061
## -0.340 -0.199 0.061
## -0.084 -0.032 0.035
##
## -0.339 -0.199 0.289
## 0.011 0.004 0.251
##
## 0.006 0.003 0.113
## -0.029 -0.012 0.112
## 0.112 0.070 0.164
## -0.044 -0.011 0.211
## 0.016 0.004 0.203
##
## -0.007 -0.003 0.322
## -0.032 -0.013 0.323
## 0.091 0.057 0.291
## 0.055 0.014 0.345
## -0.000 -0.000 0.347
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 7.370 0.368 20.027 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 20.427 0.766 26.658 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.692 0.034 20.435 0.000
## .MEM_BL ~~
## .EF_DELTA 0.033 0.063 0.529 0.597
## .EF_BL ~~
## .MEM_DELTA 0.690 0.077 8.901 0.000
## .MEM_BL 1.408 0.072 19.434 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.425 0.060 7.100 0.000
## Multimorbidity ~~
## Education -0.465 0.059 -7.874 0.000
## Income -0.278 0.022 -12.458 0.000
## BMI 2.312 0.133 17.409 0.000
## Source.BL -0.013 0.011 -1.185 0.236
## White -0.008 0.004 -2.239 0.025
## Smoking 0.190 0.029 6.546 0.000
## Alcohol -0.836 0.058 -14.324 0.000
## Depression 2.161 0.112 19.352 0.000
## Age_BL 0.199 0.014 14.620 0.000
## Language_BL -0.004 0.009 -0.424 0.671
## Language_FU1 -0.000 0.009 -0.051 0.960
## Materil_dprvtn 0.049 0.010 5.018 0.000
## Social_deprvtn 0.064 0.010 6.579 0.000
## Physical_ctvty -0.285 0.015 -18.532 0.000
## MatINT -0.005 0.007 -0.703 0.482
## SocINT -0.006 0.006 -0.928 0.353
## Education ~~
## Income 0.848 0.027 30.997 0.000
## BMI -1.208 0.152 -7.941 0.000
## Source.BL -0.087 0.013 -6.633 0.000
## White -0.015 0.004 -3.489 0.000
## Smoking -0.327 0.034 -9.544 0.000
## Alcohol 1.215 0.069 17.556 0.000
## Depression -1.235 0.128 -9.658 0.000
## Age_BL -0.218 0.016 -13.634 0.000
## Language_BL -0.113 0.010 -10.973 0.000
## Language_FU1 -0.110 0.010 -10.550 0.000
## Materil_dprvtn -0.293 0.012 -24.519 0.000
## Social_deprvtn -0.070 0.011 -6.162 0.000
## Physical_ctvty 0.160 0.018 9.005 0.000
## MatINT -0.021 0.008 -2.733 0.006
## SocINT 0.004 0.007 0.490 0.624
## Income ~~
## BMI -0.519 0.057 -9.085 0.000
## Source.BL -0.047 0.005 -9.581 0.000
## White 0.005 0.002 3.147 0.002
## Smoking -0.104 0.013 -8.117 0.000
## Alcohol 0.615 0.026 23.526 0.000
## Depression -0.646 0.048 -13.344 0.000
## Age_BL -0.076 0.006 -12.706 0.000
## Language_BL -0.052 0.004 -13.406 0.000
## Language_FU1 -0.051 0.004 -13.009 0.000
## Materil_dprvtn -0.114 0.004 -25.519 0.000
## Social_deprvtn -0.092 0.004 -21.024 0.000
## Physical_ctvty 0.072 0.007 10.828 0.000
## MatINT -0.004 0.003 -1.236 0.217
## SocINT -0.007 0.003 -2.463 0.014
## BMI ~~
## Source.BL -0.211 0.029 -7.351 0.000
## White 0.000 0.009 0.036 0.971
## Smoking -0.028 0.075 -0.376 0.707
## Alcohol -2.204 0.151 -14.634 0.000
## Depression 1.990 0.281 7.085 0.000
## Age_BL -0.402 0.035 -11.485 0.000
## Language_BL -0.027 0.023 -1.195 0.232
## Language_FU1 -0.025 0.023 -1.094 0.274
## Materil_dprvtn 0.215 0.025 8.490 0.000
## Social_deprvtn 0.060 0.025 2.422 0.015
## Physical_ctvty -0.510 0.039 -13.021 0.000
## MatINT 0.003 0.017 0.170 0.865
## SocINT -0.013 0.016 -0.805 0.421
## Source.BL ~~
## White 0.002 0.001 2.467 0.014
## Smoking 0.012 0.006 1.938 0.053
## Alcohol -0.088 0.013 -6.849 0.000
## Depression 0.007 0.024 0.286 0.775
## Age_BL 0.018 0.003 5.953 0.000
## Language_BL -0.007 0.002 -3.443 0.001
## Language_FU1 -0.007 0.002 -3.519 0.000
## Materil_dprvtn 0.036 0.002 16.425 0.000
## Social_deprvtn -0.003 0.002 -1.535 0.125
## Physical_ctvty -0.014 0.003 -4.305 0.000
## MatINT 0.001 0.001 0.368 0.713
## SocINT 0.000 0.001 0.133 0.894
## White ~~
## Smoking 0.015 0.002 7.015 0.000
## Alcohol 0.035 0.004 8.034 0.000
## Depression -0.027 0.008 -3.373 0.001
## Age_BL 0.002 0.001 2.253 0.024
## Language_BL 0.001 0.001 1.905 0.057
## Language_FU1 0.001 0.001 2.322 0.020
## Materil_dprvtn -0.002 0.001 -2.153 0.031
## Social_deprvtn -0.000 0.001 -0.245 0.806
## Physical_ctvty 0.001 0.001 1.225 0.220
## MatINT -0.001 0.000 -1.281 0.200
## SocINT -0.000 0.000 -0.499 0.618
## Smoking ~~
## Alcohol 0.250 0.034 7.445 0.000
## Depression 0.380 0.063 6.039 0.000
## Age_BL -0.052 0.008 -6.619 0.000
## Language_BL 0.010 0.005 2.013 0.044
## Language_FU1 0.007 0.005 1.435 0.151
## Materil_dprvtn 0.031 0.006 5.392 0.000
## Social_deprvtn 0.042 0.006 7.535 0.000
## Physical_ctvty -0.024 0.009 -2.734 0.006
## MatINT 0.001 0.004 0.164 0.870
## SocINT 0.001 0.004 0.153 0.878
## Alcohol ~~
## Depression -0.915 0.125 -7.312 0.000
## Age_BL -0.077 0.016 -4.945 0.000
## Language_BL 0.024 0.010 2.363 0.018
## Language_FU1 0.025 0.010 2.486 0.013
## Materil_dprvtn -0.193 0.012 -16.793 0.000
## Social_deprvtn -0.072 0.011 -6.424 0.000
## Physical_ctvty 0.148 0.017 8.590 0.000
## MatINT -0.007 0.007 -0.904 0.366
## SocINT -0.002 0.007 -0.292 0.770
## Depression ~~
## Age_BL 0.117 0.029 4.030 0.000
## Language_BL 0.040 0.019 2.122 0.034
## Language_FU1 0.041 0.019 2.143 0.032
## Materil_dprvtn 0.106 0.021 4.971 0.000
## Social_deprvtn 0.116 0.021 5.528 0.000
## Physical_ctvty -0.411 0.033 -12.510 0.000
## MatINT -0.010 0.014 -0.711 0.477
## SocINT 0.021 0.014 1.530 0.126
## Age_BL ~~
## Language_BL -0.005 0.002 -2.301 0.021
## Language_FU1 -0.006 0.002 -2.399 0.016
## Materil_dprvtn -0.005 0.003 -1.792 0.073
## Social_deprvtn 0.019 0.003 7.282 0.000
## Physical_ctvty -0.099 0.004 -23.733 0.000
## MatINT 0.001 0.002 0.318 0.751
## SocINT 0.000 0.002 0.201 0.840
## Language_BL ~~
## Language_FU1 0.141 0.002 66.067 0.000
## Materil_dprvtn 0.031 0.002 17.471 0.000
## Social_deprvtn 0.022 0.002 13.010 0.000
## Physical_ctvty -0.008 0.003 -2.899 0.004
## MatINT 0.001 0.001 1.021 0.307
## SocINT 0.002 0.001 1.914 0.056
## Language_FU1 ~~
## Materil_dprvtn 0.030 0.002 17.179 0.000
## Social_deprvtn 0.023 0.002 13.316 0.000
## Physical_ctvty -0.007 0.003 -2.597 0.009
## MatINT 0.001 0.001 0.699 0.484
## SocINT 0.002 0.001 1.860 0.063
## Material_deprivation ~~
## Social_deprvtn 0.006 0.002 3.339 0.001
## Physical_ctvty -0.015 0.003 -5.017 0.000
## MatINT 0.009 0.001 7.375 0.000
## SocINT -0.001 0.001 -0.444 0.657
## Social_deprivation ~~
## Physical_ctvty -0.025 0.003 -8.555 0.000
## MatINT -0.001 0.001 -0.561 0.575
## SocINT 0.008 0.001 7.184 0.000
## Physical_activity ~~
## MatINT 0.004 0.002 2.056 0.040
## SocINT -0.004 0.002 -2.294 0.022
## MatINT ~~
## SocINT 0.001 0.001 1.680 0.093
## ci.lower ci.upper Std.lv Std.all FMI
##
## 6.649 8.091 7.370 0.405 0.202
##
## 18.925 21.928 20.427 0.451 0.236
##
## 0.625 0.758 0.692 0.265 0.298
##
## -0.090 0.156 0.029 0.029 0.314
##
## 0.538 0.841 0.160 0.160 0.304
## 1.266 1.550 0.317 0.317 0.071
##
## 0.308 0.543 0.384 0.384 0.327
##
## -0.581 -0.349 -0.465 -0.088 0.100
## -0.322 -0.235 -0.278 -0.148 0.186
## 2.051 2.572 2.312 0.200 0.118
## -0.035 0.009 -0.013 -0.013 0.080
## -0.015 -0.001 -0.008 -0.025 0.088
## 0.133 0.247 0.190 0.073 0.100
## -0.950 -0.721 -0.836 -0.165 0.134
## 1.942 2.380 2.161 0.223 0.116
## 0.173 0.226 0.199 0.165 0.096
## -0.021 0.014 -0.004 -0.005 0.111
## -0.018 0.017 -0.000 -0.001 0.121
## 0.030 0.069 0.049 0.057 0.146
## 0.045 0.083 0.064 0.075 0.142
## -0.315 -0.254 -0.285 -0.221 0.177
## -0.017 0.008 -0.005 -0.009 0.261
## -0.018 0.006 -0.006 -0.011 0.243
##
## 0.794 0.902 0.848 0.364 0.082
## -1.506 -0.910 -1.208 -0.085 0.008
## -0.112 -0.061 -0.087 -0.070 0.003
## -0.023 -0.007 -0.015 -0.037 0.007
## -0.394 -0.260 -0.327 -0.102 0.009
## 1.080 1.351 1.215 0.194 0.053
## -1.486 -0.985 -1.235 -0.103 0.010
## -0.249 -0.187 -0.218 -0.146 0.003
## -0.134 -0.093 -0.113 -0.117 0.005
## -0.130 -0.089 -0.110 -0.113 0.014
## -0.316 -0.269 -0.293 -0.276 0.051
## -0.093 -0.048 -0.070 -0.067 0.058
## 0.125 0.195 0.160 0.101 0.101
## -0.036 -0.006 -0.021 -0.032 0.170
## -0.011 0.018 0.004 0.006 0.167
##
## -0.631 -0.407 -0.519 -0.102 0.100
## -0.057 -0.037 -0.047 -0.107 0.092
## 0.002 0.008 0.005 0.035 0.109
## -0.129 -0.079 -0.104 -0.091 0.096
## 0.564 0.666 0.615 0.275 0.121
## -0.740 -0.551 -0.646 -0.151 0.106
## -0.088 -0.064 -0.076 -0.142 0.093
## -0.060 -0.044 -0.052 -0.150 0.087
## -0.058 -0.043 -0.051 -0.146 0.095
## -0.123 -0.106 -0.114 -0.302 0.129
## -0.101 -0.083 -0.092 -0.247 0.139
## 0.059 0.085 0.072 0.127 0.169
## -0.009 0.002 -0.004 -0.015 0.239
## -0.012 -0.001 -0.007 -0.030 0.232
##
## -0.267 -0.155 -0.211 -0.078 0.006
## -0.018 0.019 0.000 0.000 0.012
## -0.174 0.118 -0.028 -0.004 0.010
## -2.499 -1.909 -2.204 -0.161 0.051
## 1.440 2.541 1.990 0.076 0.021
## -0.470 -0.333 -0.402 -0.123 0.008
## -0.071 0.017 -0.027 -0.013 0.008
## -0.069 0.020 -0.025 -0.012 0.016
## 0.166 0.265 0.215 0.093 0.057
## 0.012 0.109 0.060 0.026 0.062
## -0.587 -0.434 -0.510 -0.147 0.101
## -0.030 0.036 0.003 0.002 0.172
## -0.045 0.019 -0.013 -0.009 0.171
##
## 0.000 0.004 0.002 0.026 -0.000
## -0.000 0.025 0.012 0.021 0.007
## -0.113 -0.063 -0.088 -0.075 0.051
## -0.040 0.054 0.007 0.003 0.006
## 0.012 0.024 0.018 0.063 -0.000
## -0.010 -0.003 -0.007 -0.036 -0.000
## -0.011 -0.003 -0.007 -0.037 0.010
## 0.032 0.041 0.036 0.181 0.052
## -0.008 0.001 -0.003 -0.017 0.059
## -0.021 -0.008 -0.014 -0.048 0.105
## -0.002 0.003 0.001 0.004 0.176
## -0.003 0.003 0.000 0.002 0.176
##
## 0.011 0.019 0.015 0.074 0.000
## 0.027 0.044 0.035 0.092 0.135
## -0.042 -0.011 -0.027 -0.036 0.012
## 0.000 0.004 0.002 0.024 -0.000
## -0.000 0.002 0.001 0.020 -0.000
## 0.000 0.003 0.001 0.025 0.009
## -0.003 -0.000 -0.002 -0.023 0.019
## -0.002 0.001 -0.000 -0.003 0.021
## -0.001 0.003 0.001 0.014 0.103
## -0.001 0.000 -0.001 -0.015 0.132
## -0.001 0.001 -0.000 -0.006 0.132
##
## 0.184 0.315 0.250 0.081 0.053
## 0.257 0.503 0.380 0.065 0.017
## -0.067 -0.036 -0.052 -0.070 0.007
## 0.000 0.020 0.010 0.021 0.008
## -0.003 0.017 0.007 0.015 0.020
## 0.019 0.042 0.031 0.059 0.052
## 0.031 0.053 0.042 0.082 0.057
## -0.041 -0.007 -0.024 -0.031 0.109
## -0.007 0.008 0.001 0.002 0.172
## -0.007 0.008 0.001 0.002 0.173
##
## -1.161 -0.670 -0.915 -0.080 0.054
## -0.107 -0.046 -0.077 -0.054 0.050
## 0.004 0.043 0.024 0.025 0.034
## 0.005 0.045 0.025 0.027 0.042
## -0.216 -0.171 -0.193 -0.190 0.095
## -0.093 -0.050 -0.072 -0.072 0.094
## 0.115 0.182 0.148 0.097 0.122
## -0.021 0.008 -0.007 -0.011 0.182
## -0.016 0.012 -0.002 -0.003 0.180
##
## 0.060 0.175 0.117 0.043 0.009
## 0.003 0.077 0.040 0.023 0.009
## 0.003 0.078 0.041 0.023 0.017
## 0.064 0.147 0.106 0.054 0.057
## 0.075 0.157 0.116 0.061 0.065
## -0.475 -0.347 -0.411 -0.141 0.102
## -0.037 0.017 -0.010 -0.008 0.170
## -0.006 0.047 0.021 0.018 0.169
##
## -0.010 -0.001 -0.005 -0.024 -0.000
## -0.010 -0.001 -0.006 -0.025 0.009
## -0.010 0.000 -0.005 -0.020 0.057
## 0.014 0.024 0.019 0.080 0.063
## -0.107 -0.091 -0.099 -0.272 0.090
## -0.003 0.004 0.001 0.004 0.168
## -0.003 0.004 0.000 0.002 0.168
##
## 0.137 0.145 0.141 0.979 0.004
## 0.027 0.034 0.031 0.194 0.058
## 0.019 0.026 0.022 0.144 0.065
## -0.013 -0.002 -0.008 -0.032 0.076
## -0.001 0.003 0.001 0.012 0.152
## -0.000 0.004 0.002 0.022 0.152
##
## 0.027 0.034 0.030 0.191 0.066
## 0.020 0.026 0.023 0.148 0.073
## -0.012 -0.002 -0.007 -0.029 0.081
## -0.001 0.003 0.001 0.008 0.157
## -0.000 0.004 0.002 0.021 0.156
##
## 0.003 0.010 0.006 0.036 0.060
## -0.020 -0.009 -0.015 -0.057 0.132
## 0.007 0.012 0.009 0.085 0.160
## -0.003 0.002 -0.001 -0.005 0.160
##
## -0.031 -0.019 -0.025 -0.098 0.137
## -0.003 0.002 -0.001 -0.006 0.160
## 0.006 0.011 0.008 0.083 0.159
##
## 0.000 0.007 0.004 0.024 0.152
## -0.008 -0.001 -0.004 -0.026 0.152
##
## -0.000 0.003 0.001 0.019 0.153
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e2) 18.506 0.398 46.485 0.000 17.725 19.286
## .MEM_BL (f2) 3.419 0.121 28.361 0.000 3.183 3.656
## .EF_DELTA (l2) 3.370 0.545 6.183 0.000 2.302 4.438
## .MEM_DELTA (n2) 2.583 0.140 18.405 0.000 2.308 2.858
## Mltmrbdty 3.251 0.023 141.497 0.000 3.206 3.296
## Education -0.450 0.027 -16.642 0.000 -0.503 -0.397
## Income 0.459 0.010 45.380 0.000 0.439 0.479
## BMI 27.510 0.059 464.043 0.000 27.394 27.626
## Source.BL 1.367 0.005 268.371 0.000 1.357 1.377
## White 0.475 0.002 285.016 0.000 0.471 0.478
## Smoking 0.240 0.013 18.003 0.000 0.214 0.266
## Alcohol 0.211 0.027 7.956 0.000 0.159 0.263
## Depressin 0.824 0.050 16.567 0.000 0.727 0.922
## Age_BL 0.000 0.006 0.000 1.000 -0.012 0.012
## Langug_BL 1.174 0.004 292.820 0.000 1.167 1.182
## Langg_FU1 1.174 0.004 291.518 0.000 1.166 1.182
## Mtrl_dprv 0.023 0.004 5.009 0.000 0.014 0.031
## Scl_dprvt 0.017 0.004 3.810 0.000 0.008 0.026
## Physcl_ct 0.061 0.007 8.794 0.000 0.047 0.074
## MatINT -0.014 0.003 -4.596 0.000 -0.019 -0.008
## SocINT -0.023 0.003 -7.900 0.000 -0.028 -0.017
## Std.lv Std.all FMI
## 4.630 4.630 0.055
## 2.303 2.303 0.068
## 2.905 2.905 0.313
## 1.627 1.627 0.296
## 3.251 1.572 0.095
## -0.450 -0.176 0.003
## 0.459 0.503 0.092
## 27.510 4.918 0.006
## 1.367 2.836 -0.000
## 0.475 3.012 -0.000
## 0.240 0.191 0.007
## 0.211 0.086 0.045
## 0.824 0.176 0.008
## 0.000 0.000 -0.000
## 1.174 3.095 -0.000
## 1.174 3.094 0.009
## 0.023 0.054 0.049
## 0.017 0.041 0.054
## 0.061 0.097 0.091
## -0.014 -0.053 0.157
## -0.023 -0.091 0.157
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g2) 10.218 0.366 27.952 0.000 9.501 10.934
## .MEM_BL (h2) 1.931 0.032 59.821 0.000 1.867 1.994
## Vr_F_C.BL (i2) 18.201 0.356 51.188 0.000 17.504 18.898
## V_F_C.FU1 (i2) 18.201 0.356 51.188 0.000 17.504 18.898
## .MAT_Sc.BL (j2) 45.304 0.719 62.987 0.000 43.895 46.714
## .MAT_S.FU1 (j2) 45.304 0.719 62.987 0.000 43.895 46.714
## COG_REYII (k2) 2.607 0.031 83.594 0.000 2.546 2.668
## COG_REYII (k2) 2.607 0.031 83.594 0.000 2.546 2.668
## .EF_DELTA (m2) 0.676 0.291 2.324 0.020 0.106 1.247
## .MEM_DELTA (o2) 1.812 0.034 53.324 0.000 1.745 1.878
## Mltmrbdty 4.277 0.068 63.111 0.000 4.144 4.410
## Education 6.526 0.098 66.792 0.000 6.334 6.717
## Income 0.833 0.013 63.044 0.000 0.807 0.859
## BMI 31.286 0.469 66.675 0.000 30.366 32.206
## Source.BL 0.232 0.003 66.907 0.000 0.226 0.239
## White 0.025 0.000 66.907 0.000 0.024 0.026
## Smoking 1.577 0.024 66.668 0.000 1.530 1.623
## Alcohol 6.002 0.092 65.047 0.000 5.821 6.183
## Depressin 21.989 0.330 66.622 0.000 21.342 22.636
## Age_BL 0.342 0.005 66.907 0.000 0.332 0.352
## Langug_BL 0.144 0.002 66.907 0.000 0.140 0.148
## Langg_FU1 0.144 0.002 66.446 0.000 0.140 0.148
## Mtrl_dprv 0.172 0.003 64.840 0.000 0.167 0.178
## Scl_dprvt 0.167 0.003 64.871 0.000 0.162 0.172
## Physcl_ct 0.387 0.006 63.311 0.000 0.375 0.399
## MatINT 0.066 0.001 61.563 0.000 0.064 0.068
## SocINT 0.062 0.001 61.564 0.000 0.060 0.064
## Std.lv Std.all FMI
## 0.640 0.640 0.077
## 0.876 0.876 0.068
## 18.201 0.533 0.132
## 18.201 0.581 0.132
## 45.304 0.647 0.125
## 45.304 0.691 0.125
## 2.607 0.542 0.173
## 2.607 0.505 0.173
## 0.503 0.503 0.334
## 0.719 0.719 0.264
## 4.277 1.000 0.110
## 6.526 1.000 0.003
## 0.833 1.000 0.112
## 31.286 1.000 0.007
## 0.232 1.000 -0.000
## 0.025 1.000 -0.000
## 1.577 1.000 0.007
## 6.002 1.000 0.055
## 21.989 1.000 0.009
## 0.342 1.000 -0.000
## 0.144 1.000 -0.000
## 0.144 1.000 0.014
## 0.172 1.000 0.061
## 0.167 1.000 0.060
## 0.387 1.000 0.105
## 0.066 1.000 0.153
## 0.062 1.000 0.153
##
##
## Group 3 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b3) 1.205 0.003 385.301 0.000 1.199 1.211
## EF_FU1 =~
## MAT_S.FU1 (b3) 1.205 0.003 385.301 0.000 1.199 1.211
## MEM_BL =~
## COG_REYI_ (d3) 1.291 0.003 492.392 0.000 1.285 1.296
## MEM_FU1 =~
## COG_REYI_ (d3) 1.291 0.003 492.392 0.000 1.285 1.296
## Std.lv Std.all FMI
##
## 4.667 0.581 0.070
##
## 3.814 0.504 0.070
##
## 2.015 1.000 0.108
##
## 2.172 1.000 0.108
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL -0.288 0.019 -15.295 0.000 -0.325 -0.251
## MEM_DELTA ~
## MEM_BL -0.541 0.010 -54.837 0.000 -0.560 -0.521
## EF_DELTA ~
## Mltmrbd -0.035 0.024 -1.447 0.148 -0.082 0.012
## Educatn 0.077 0.021 3.748 0.000 0.037 0.117
## Income 0.044 0.040 1.106 0.269 -0.034 0.122
## BMI 0.009 0.006 1.527 0.127 -0.003 0.021
## Sorc.BL -0.369 0.075 -4.901 0.000 -0.516 -0.221
## White 0.553 0.196 2.826 0.005 0.169 0.936
## Smoking 0.023 0.026 0.907 0.364 -0.027 0.074
## Alcohol 0.018 0.018 1.001 0.317 -0.017 0.052
## Deprssn -0.021 0.008 -2.717 0.007 -0.035 -0.006
## EF_BL ~
## Mltmrbd -0.106 0.030 -3.515 0.000 -0.165 -0.047
## Educatn 0.485 0.024 20.594 0.000 0.438 0.531
## Income 0.385 0.050 7.654 0.000 0.287 0.484
## BMI 0.009 0.008 1.175 0.240 -0.006 0.024
## Sorc.BL 0.136 0.096 1.416 0.157 -0.052 0.325
## White 3.887 0.219 17.715 0.000 3.457 4.317
## Smoking -0.137 0.032 -4.253 0.000 -0.201 -0.074
## Alcohol 0.079 0.023 3.493 0.000 0.035 0.123
## Deprssn -0.068 0.009 -7.225 0.000 -0.086 -0.050
## Age_BL -0.963 0.091 -10.617 0.000 -1.141 -0.786
## Lngg_BL -0.824 0.124 -6.659 0.000 -1.066 -0.581
## EF_DELTA ~
## Age_BL -0.547 0.073 -7.476 0.000 -0.690 -0.403
## Lng_FU1 0.065 0.097 0.672 0.501 -0.125 0.256
## EF_BL ~
## Mtrl_dp (c111) -0.595 0.129 -4.618 0.000 -0.847 -0.342
## Scl_dpr (c121) 0.085 0.123 0.694 0.488 -0.156 0.327
## Physcl_ (b11c) 0.195 0.060 3.234 0.001 0.077 0.313
## MatINT (int1) -0.083 0.149 -0.559 0.576 -0.375 0.209
## SocINT (int2) -0.001 0.145 -0.010 0.992 -0.286 0.283
## EF_DELTA ~
## Mtrl_dp (c211) -0.260 0.102 -2.542 0.011 -0.460 -0.060
## Scl_dpr (c221) -0.160 0.096 -1.666 0.096 -0.348 0.028
## Physcl_ (b21c) -0.004 0.046 -0.079 0.937 -0.093 0.086
## MatINT (int3) 0.186 0.113 1.644 0.100 -0.036 0.407
## SocINT (int4) 0.127 0.111 1.144 0.253 -0.091 0.345
## MEM_DELTA ~
## Mltmrbd -0.024 0.010 -2.447 0.014 -0.044 -0.005
## Educatn 0.062 0.008 8.022 0.000 0.047 0.077
## Income 0.042 0.016 2.547 0.011 0.010 0.074
## BMI -0.005 0.003 -2.043 0.041 -0.010 -0.000
## Sorc.BL -0.452 0.031 -14.457 0.000 -0.513 -0.390
## White 0.257 0.075 3.414 0.001 0.109 0.404
## Smoking -0.016 0.011 -1.484 0.138 -0.037 0.005
## Alcohol 0.010 0.007 1.312 0.190 -0.005 0.024
## Deprssn -0.008 0.003 -2.692 0.007 -0.015 -0.002
## MEM_BL ~
## Mltmrbd -0.009 0.009 -1.007 0.314 -0.028 0.009
## Educatn 0.107 0.007 14.837 0.000 0.093 0.122
## Income 0.077 0.016 4.943 0.000 0.047 0.108
## BMI -0.002 0.002 -0.774 0.439 -0.007 0.003
## Sorc.BL 0.209 0.030 7.018 0.000 0.151 0.268
## White 0.277 0.068 4.097 0.000 0.145 0.410
## Smoking -0.014 0.010 -1.412 0.158 -0.034 0.005
## Alcohol 0.029 0.007 4.147 0.000 0.015 0.043
## Deprssn -0.012 0.003 -4.213 0.000 -0.018 -0.007
## Age_BL -0.104 0.028 -3.698 0.000 -0.159 -0.049
## Lngg_BL -0.236 0.038 -6.210 0.000 -0.310 -0.161
## MEM_DELTA ~
## Age_BL -0.187 0.030 -6.315 0.000 -0.244 -0.129
## Lng_FU1 -0.038 0.040 -0.950 0.342 -0.117 0.041
## MEM_BL ~
## Mtrl_dp (c112) -0.048 0.040 -1.216 0.224 -0.126 0.030
## Scl_dpr (c122) -0.027 0.038 -0.695 0.487 -0.101 0.048
## Physcl_ (b12c) 0.043 0.019 2.320 0.020 0.007 0.080
## MatINT (int5) 0.024 0.046 0.517 0.605 -0.066 0.114
## SocINT (int6) -0.014 0.045 -0.317 0.751 -0.103 0.074
## MEM_DELTA ~
## Mtrl_dp (c212) -0.086 0.042 -2.032 0.042 -0.168 -0.003
## Scl_dpr (c222) 0.004 0.040 0.092 0.927 -0.075 0.082
## Physcl_ (b22c) 0.038 0.019 1.984 0.047 0.000 0.075
## MatINT (int7) 0.145 0.047 3.112 0.002 0.054 0.236
## SocINT (int8) -0.013 0.046 -0.278 0.781 -0.103 0.077
## Std.lv Std.all FMI
##
## -0.790 -0.790 0.257
##
## -0.498 -0.498 0.225
##
## -0.025 -0.043 0.301
## 0.055 0.117 0.243
## 0.031 0.036 0.267
## 0.007 0.042 0.240
## -0.261 -0.126 0.225
## 0.392 0.082 0.295
## 0.017 0.025 0.258
## 0.013 0.028 0.243
## -0.015 -0.075 0.248
##
## -0.027 -0.047 0.090
## 0.125 0.269 0.039
## 0.100 0.114 0.095
## 0.002 0.015 0.038
## 0.035 0.017 0.036
## 1.004 0.210 0.024
## -0.035 -0.053 0.039
## 0.020 0.045 0.059
## -0.018 -0.090 0.035
## -0.249 -0.134 0.037
## -0.213 -0.081 0.033
##
## -0.388 -0.209 0.228
## 0.046 0.018 0.215
##
## -0.154 -0.061 0.068
## 0.022 0.009 0.075
## 0.050 0.042 0.126
## -0.021 -0.007 0.164
## -0.000 -0.000 0.162
##
## -0.184 -0.073 0.265
## -0.113 -0.046 0.254
## -0.003 -0.002 0.251
## 0.132 0.044 0.286
## 0.090 0.031 0.297
##
## -0.014 -0.025 0.279
## 0.037 0.079 0.216
## 0.025 0.028 0.251
## -0.003 -0.019 0.223
## -0.267 -0.128 0.199
## 0.151 0.032 0.275
## -0.009 -0.014 0.234
## 0.006 0.013 0.230
## -0.005 -0.026 0.234
##
## -0.006 -0.010 0.096
## 0.069 0.148 0.044
## 0.049 0.056 0.108
## -0.001 -0.007 0.046
## 0.134 0.065 0.049
## 0.177 0.037 0.028
## -0.009 -0.013 0.045
## 0.019 0.041 0.071
## -0.008 -0.040 0.047
## -0.066 -0.036 0.046
## -0.151 -0.058 0.030
##
## -0.110 -0.059 0.207
## -0.022 -0.009 0.193
##
## -0.031 -0.012 0.076
## -0.017 -0.007 0.086
## 0.028 0.023 0.136
## 0.015 0.005 0.171
## -0.009 -0.003 0.173
##
## -0.051 -0.020 0.242
## 0.002 0.001 0.233
## 0.022 0.018 0.227
## 0.086 0.028 0.256
## -0.008 -0.003 0.271
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 11.226 0.373 30.081 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 21.154 0.627 33.752 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.559 0.026 21.215 0.000
## .MEM_BL ~~
## .EF_DELTA 0.234 0.058 4.070 0.000
## .EF_BL ~~
## .MEM_DELTA 0.986 0.073 13.471 0.000
## .MEM_BL 1.627 0.071 22.930 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.239 0.054 4.459 0.000
## Multimorbidity ~~
## Education -0.519 0.035 -14.879 0.000
## Income -0.420 0.019 -21.927 0.000
## BMI 2.999 0.106 28.287 0.000
## Source.BL -0.005 0.008 -0.663 0.507
## White 0.004 0.003 1.208 0.227
## Smoking 0.195 0.024 8.157 0.000
## Alcohol -0.594 0.036 -16.337 0.000
## Depression 2.190 0.086 25.531 0.000
## Age_BL 0.223 0.009 25.215 0.000
## Language_BL -0.014 0.006 -2.202 0.028
## Language_FU1 -0.013 0.006 -2.195 0.028
## Materil_dprvtn 0.073 0.007 11.158 0.000
## Social_deprvtn 0.070 0.007 10.651 0.000
## Physical_ctvty -0.233 0.014 -16.498 0.000
## MatINT -0.019 0.006 -3.397 0.001
## SocINT -0.046 0.006 -7.828 0.000
## Education ~~
## Income 0.825 0.024 34.542 0.000
## BMI -1.930 0.124 -15.555 0.000
## Source.BL -0.114 0.009 -12.121 0.000
## White -0.020 0.004 -4.843 0.000
## Smoking -0.747 0.030 -25.149 0.000
## Alcohol 0.785 0.044 17.800 0.000
## Depression -1.305 0.101 -12.940 0.000
## Age_BL -0.104 0.010 -9.924 0.000
## Language_BL -0.046 0.007 -6.180 0.000
## Language_FU1 -0.045 0.007 -6.107 0.000
## Materil_dprvtn -0.229 0.008 -28.233 0.000
## Social_deprvtn -0.076 0.008 -9.467 0.000
## Physical_ctvty 0.161 0.017 9.467 0.000
## MatINT -0.003 0.007 -0.372 0.710
## SocINT 0.010 0.007 1.389 0.165
## Income ~~
## BMI -1.101 0.068 -16.290 0.000
## Source.BL -0.043 0.005 -8.415 0.000
## White 0.010 0.002 4.433 0.000
## Smoking -0.293 0.016 -18.418 0.000
## Alcohol 0.648 0.024 26.639 0.000
## Depression -1.416 0.056 -25.252 0.000
## Age_BL -0.137 0.006 -23.605 0.000
## Language_BL -0.060 0.004 -14.901 0.000
## Language_FU1 -0.060 0.004 -14.706 0.000
## Materil_dprvtn -0.144 0.004 -32.411 0.000
## Social_deprvtn -0.148 0.005 -32.544 0.000
## Physical_ctvty 0.131 0.009 14.186 0.000
## MatINT -0.002 0.004 -0.560 0.576
## SocINT 0.005 0.004 1.410 0.158
## BMI ~~
## Source.BL -0.096 0.028 -3.468 0.001
## White 0.043 0.012 3.554 0.000
## Smoking 0.201 0.085 2.359 0.018
## Alcohol -3.020 0.131 -23.132 0.000
## Depression 3.861 0.297 12.995 0.000
## Age_BL 0.258 0.031 8.366 0.000
## Language_BL -0.113 0.022 -5.196 0.000
## Language_FU1 -0.115 0.022 -5.255 0.000
## Materil_dprvtn 0.339 0.023 14.514 0.000
## Social_deprvtn 0.216 0.024 9.136 0.000
## Physical_ctvty -0.874 0.050 -17.470 0.000
## MatINT -0.025 0.020 -1.237 0.216
## SocINT -0.078 0.021 -3.739 0.000
## Source.BL ~~
## White 0.003 0.001 2.809 0.005
## Smoking 0.033 0.006 5.014 0.000
## Alcohol -0.084 0.010 -8.562 0.000
## Depression 0.020 0.022 0.886 0.376
## Age_BL -0.006 0.002 -2.461 0.014
## Language_BL -0.005 0.002 -3.238 0.001
## Language_FU1 -0.005 0.002 -2.792 0.005
## Materil_dprvtn 0.030 0.002 17.002 0.000
## Social_deprvtn -0.000 0.002 -0.179 0.858
## Physical_ctvty -0.004 0.004 -1.078 0.281
## MatINT 0.002 0.002 1.397 0.162
## SocINT 0.001 0.002 0.850 0.395
## White ~~
## Smoking 0.032 0.003 11.417 0.000
## Alcohol 0.058 0.004 13.057 0.000
## Depression -0.038 0.010 -3.835 0.000
## Age_BL 0.005 0.001 5.303 0.000
## Language_BL 0.003 0.001 4.025 0.000
## Language_FU1 0.003 0.001 4.496 0.000
## Materil_dprvtn -0.003 0.001 -4.002 0.000
## Social_deprvtn 0.002 0.001 2.631 0.009
## Physical_ctvty -0.000 0.002 -0.277 0.782
## MatINT 0.001 0.001 1.038 0.299
## SocINT -0.001 0.001 -1.182 0.237
## Smoking ~~
## Alcohol 0.093 0.030 3.079 0.002
## Depression 0.942 0.070 13.478 0.000
## Age_BL -0.010 0.007 -1.316 0.188
## Language_BL 0.054 0.005 10.390 0.000
## Language_FU1 0.056 0.005 10.816 0.000
## Materil_dprvtn 0.078 0.005 14.307 0.000
## Social_deprvtn 0.084 0.006 15.102 0.000
## Physical_ctvty -0.063 0.012 -5.343 0.000
## MatINT -0.004 0.005 -0.871 0.384
## SocINT -0.003 0.005 -0.640 0.522
## Alcohol ~~
## Depression -1.461 0.105 -13.882 0.000
## Age_BL 0.006 0.011 0.560 0.575
## Language_BL 0.064 0.008 8.291 0.000
## Language_FU1 0.067 0.008 8.750 0.000
## Materil_dprvtn -0.152 0.008 -18.346 0.000
## Social_deprvtn -0.067 0.008 -8.042 0.000
## Physical_ctvty 0.136 0.018 7.767 0.000
## MatINT 0.004 0.007 0.579 0.562
## SocINT 0.028 0.007 3.787 0.000
## Depression ~~
## Age_BL -0.039 0.025 -1.554 0.120
## Language_BL 0.044 0.018 2.470 0.014
## Language_FU1 0.042 0.018 2.344 0.019
## Materil_dprvtn 0.228 0.019 12.022 0.000
## Social_deprvtn 0.218 0.019 11.302 0.000
## Physical_ctvty -0.520 0.041 -12.694 0.000
## MatINT -0.034 0.017 -2.038 0.042
## SocINT -0.092 0.017 -5.373 0.000
## Age_BL ~~
## Language_BL -0.000 0.002 -0.088 0.930
## Language_FU1 -0.000 0.002 -0.266 0.790
## Materil_dprvtn -0.001 0.002 -0.437 0.662
## Social_deprvtn 0.011 0.002 5.515 0.000
## Physical_ctvty -0.077 0.004 -18.122 0.000
## MatINT -0.002 0.002 -1.330 0.183
## SocINT -0.003 0.002 -1.523 0.128
## Language_BL ~~
## Language_FU1 0.142 0.002 77.176 0.000
## Materil_dprvtn 0.026 0.001 18.345 0.000
## Social_deprvtn 0.023 0.001 15.882 0.000
## Physical_ctvty -0.013 0.003 -4.231 0.000
## MatINT 0.000 0.001 0.214 0.831
## SocINT -0.000 0.001 -0.110 0.913
## Language_FU1 ~~
## Materil_dprvtn 0.026 0.001 18.161 0.000
## Social_deprvtn 0.023 0.001 15.823 0.000
## Physical_ctvty -0.013 0.003 -4.351 0.000
## MatINT -0.000 0.001 -0.250 0.803
## SocINT -0.000 0.001 -0.098 0.922
## Material_deprivation ~~
## Social_deprvtn 0.016 0.001 10.897 0.000
## Physical_ctvty -0.016 0.003 -5.000 0.000
## MatINT 0.008 0.001 6.116 0.000
## SocINT 0.002 0.001 1.263 0.207
## Social_deprivation ~~
## Physical_ctvty -0.023 0.003 -7.170 0.000
## MatINT 0.001 0.001 1.141 0.254
## SocINT 0.010 0.001 7.502 0.000
## Physical_activity ~~
## MatINT 0.025 0.003 9.560 0.000
## SocINT 0.019 0.003 7.193 0.000
## MatINT ~~
## SocINT 0.011 0.001 10.531 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 10.495 11.958 11.226 0.465 0.150
##
## 19.925 22.382 21.154 0.495 0.178
##
## 0.508 0.611 0.559 0.229 0.255
##
## 0.121 0.347 0.158 0.158 0.252
##
## 0.843 1.129 0.205 0.205 0.240
## 1.488 1.767 0.325 0.325 0.053
##
## 0.134 0.344 0.168 0.168 0.252
##
## -0.587 -0.451 -0.519 -0.140 0.058
## -0.458 -0.383 -0.420 -0.213 0.094
## 2.791 3.207 2.999 0.275 0.073
## -0.020 0.010 -0.005 -0.006 0.042
## -0.003 0.011 0.004 0.011 0.055
## 0.148 0.242 0.195 0.076 0.057
## -0.665 -0.523 -0.594 -0.156 0.081
## 2.022 2.358 2.190 0.247 0.070
## 0.206 0.241 0.223 0.240 0.048
## -0.026 -0.001 -0.014 -0.021 0.058
## -0.026 -0.001 -0.013 -0.021 0.065
## 0.060 0.086 0.073 0.106 0.088
## 0.057 0.083 0.070 0.101 0.084
## -0.260 -0.205 -0.233 -0.163 0.140
## -0.031 -0.008 -0.019 -0.034 0.186
## -0.057 -0.034 -0.046 -0.078 0.182
##
## 0.778 0.871 0.825 0.336 0.038
## -2.173 -1.687 -1.930 -0.142 0.006
## -0.133 -0.096 -0.114 -0.110 0.001
## -0.028 -0.012 -0.020 -0.044 0.003
## -0.806 -0.689 -0.747 -0.234 0.006
## 0.699 0.872 0.785 0.166 0.031
## -1.502 -1.107 -1.305 -0.118 0.005
## -0.125 -0.084 -0.104 -0.090 0.001
## -0.060 -0.031 -0.046 -0.056 0.002
## -0.060 -0.031 -0.045 -0.056 0.010
## -0.245 -0.213 -0.229 -0.268 0.030
## -0.091 -0.060 -0.076 -0.087 0.035
## 0.127 0.194 0.161 0.091 0.099
## -0.016 0.011 -0.003 -0.004 0.141
## -0.004 0.024 0.010 0.014 0.140
##
## -1.234 -0.969 -1.101 -0.153 0.049
## -0.053 -0.033 -0.043 -0.078 0.039
## 0.006 0.014 0.010 0.041 0.056
## -0.324 -0.262 -0.293 -0.173 0.042
## 0.600 0.695 0.648 0.257 0.063
## -1.526 -1.306 -1.416 -0.241 0.049
## -0.148 -0.126 -0.137 -0.223 0.036
## -0.068 -0.052 -0.060 -0.139 0.038
## -0.068 -0.052 -0.060 -0.137 0.043
## -0.153 -0.135 -0.144 -0.317 0.062
## -0.156 -0.139 -0.148 -0.320 0.067
## 0.113 0.149 0.131 0.138 0.126
## -0.009 0.005 -0.002 -0.006 0.163
## -0.002 0.013 0.005 0.014 0.171
##
## -0.150 -0.042 -0.096 -0.031 0.007
## 0.019 0.066 0.043 0.032 0.009
## 0.034 0.368 0.201 0.021 0.010
## -3.275 -2.764 -3.020 -0.217 0.028
## 3.279 4.443 3.861 0.119 0.012
## 0.198 0.319 0.258 0.076 0.007
## -0.156 -0.071 -0.113 -0.047 0.007
## -0.158 -0.072 -0.115 -0.048 0.013
## 0.293 0.385 0.339 0.135 0.043
## 0.169 0.262 0.216 0.085 0.045
## -0.972 -0.776 -0.874 -0.168 0.088
## -0.065 0.015 -0.025 -0.012 0.144
## -0.119 -0.037 -0.078 -0.036 0.136
##
## 0.001 0.004 0.003 0.025 -0.000
## 0.020 0.045 0.033 0.045 0.004
## -0.103 -0.064 -0.084 -0.079 0.023
## -0.024 0.064 0.020 0.008 0.002
## -0.010 -0.001 -0.006 -0.022 -0.000
## -0.009 -0.002 -0.005 -0.029 -0.000
## -0.008 -0.001 -0.005 -0.025 0.007
## 0.027 0.034 0.030 0.158 0.034
## -0.004 0.003 -0.000 -0.002 0.038
## -0.012 0.003 -0.004 -0.010 0.097
## -0.001 0.005 0.002 0.014 0.142
## -0.002 0.004 0.001 0.008 0.141
##
## 0.027 0.038 0.032 0.104 0.005
## 0.050 0.067 0.058 0.126 0.107
## -0.057 -0.018 -0.038 -0.035 0.008
## 0.003 0.007 0.005 0.048 -0.000
## 0.001 0.004 0.003 0.036 -0.000
## 0.002 0.005 0.003 0.041 0.009
## -0.005 -0.002 -0.003 -0.037 0.033
## 0.001 0.004 0.002 0.024 0.036
## -0.004 0.003 -0.000 -0.003 0.114
## -0.001 0.002 0.001 0.010 0.155
## -0.002 0.001 -0.001 -0.012 0.154
##
## 0.034 0.152 0.093 0.028 0.028
## 0.805 1.079 0.942 0.123 0.007
## -0.024 0.005 -0.010 -0.012 0.004
## 0.043 0.064 0.054 0.095 0.004
## 0.046 0.066 0.056 0.099 0.012
## 0.068 0.089 0.078 0.133 0.038
## 0.073 0.095 0.084 0.141 0.041
## -0.086 -0.040 -0.063 -0.051 0.111
## -0.014 0.005 -0.004 -0.009 0.153
## -0.013 0.007 -0.003 -0.006 0.153
##
## -1.667 -1.255 -1.461 -0.129 0.033
## -0.015 0.027 0.006 0.005 0.024
## 0.049 0.079 0.064 0.076 0.018
## 0.052 0.083 0.067 0.080 0.023
## -0.168 -0.136 -0.152 -0.174 0.059
## -0.083 -0.051 -0.067 -0.075 0.061
## 0.102 0.170 0.136 0.075 0.109
## -0.010 0.018 0.004 0.006 0.160
## 0.013 0.042 0.028 0.037 0.155
##
## -0.088 0.010 -0.039 -0.014 0.003
## 0.009 0.079 0.044 0.022 0.003
## 0.007 0.077 0.042 0.021 0.011
## 0.191 0.265 0.228 0.111 0.037
## 0.180 0.255 0.218 0.105 0.041
## -0.600 -0.440 -0.520 -0.122 0.105
## -0.067 -0.001 -0.034 -0.020 0.153
## -0.126 -0.059 -0.092 -0.053 0.153
##
## -0.004 0.003 -0.000 -0.001 -0.000
## -0.004 0.003 -0.000 -0.002 0.005
## -0.005 0.003 -0.001 -0.004 0.032
## 0.007 0.015 0.011 0.051 0.035
## -0.085 -0.069 -0.077 -0.173 0.079
## -0.006 0.001 -0.002 -0.013 0.121
## -0.006 0.001 -0.003 -0.015 0.121
##
## 0.138 0.145 0.142 0.976 0.002
## 0.023 0.029 0.026 0.171 0.029
## 0.020 0.025 0.023 0.147 0.031
## -0.018 -0.007 -0.013 -0.040 0.071
## -0.002 0.003 0.000 0.002 0.108
## -0.003 0.002 -0.000 -0.001 0.107
##
## 0.023 0.028 0.026 0.170 0.035
## 0.020 0.025 0.023 0.147 0.036
## -0.019 -0.007 -0.013 -0.041 0.075
## -0.003 0.002 -0.000 -0.002 0.111
## -0.003 0.002 -0.000 -0.001 0.110
##
## 0.013 0.019 0.016 0.101 0.038
## -0.022 -0.010 -0.016 -0.048 0.122
## 0.005 0.010 0.008 0.060 0.137
## -0.001 0.004 0.002 0.012 0.137
##
## -0.029 -0.017 -0.023 -0.069 0.104
## -0.001 0.004 0.001 0.011 0.116
## 0.007 0.012 0.010 0.072 0.115
##
## 0.020 0.030 0.025 0.092 0.119
## 0.014 0.025 0.019 0.069 0.119
##
## 0.009 0.014 0.011 0.102 0.121
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e3) 21.639 0.321 67.406 0.000 21.010 22.268
## .MEM_BL (f3) 5.123 0.099 51.649 0.000 4.929 5.317
## .EF_DELTA (l3) 6.214 0.478 12.993 0.000 5.276 7.151
## .MEM_DELTA (n3) 4.113 0.116 35.308 0.000 3.885 4.341
## Mltmrbdty 1.936 0.016 120.787 0.000 1.904 1.967
## Education 0.403 0.019 20.729 0.000 0.365 0.441
## Income 0.289 0.011 27.432 0.000 0.269 0.310
## BMI 27.762 0.057 485.549 0.000 27.650 27.874
## Source.BL 1.366 0.004 313.651 0.000 1.357 1.374
## White 0.454 0.002 239.407 0.000 0.450 0.458
## Smoking 0.446 0.013 33.102 0.000 0.419 0.472
## Alcohol -0.610 0.020 -30.217 0.000 -0.649 -0.570
## Depressin 0.882 0.047 18.945 0.000 0.791 0.973
## Age_BL -0.000 0.005 -0.000 1.000 -0.010 0.010
## Langug_BL 1.177 0.003 341.263 0.000 1.170 1.183
## Langg_FU1 1.176 0.003 340.621 0.000 1.169 1.183
## Mtrl_dprv 0.033 0.004 9.108 0.000 0.026 0.040
## Scl_dprvt 0.026 0.004 6.896 0.000 0.018 0.033
## Physcl_ct 0.082 0.008 10.443 0.000 0.066 0.097
## MatINT -0.013 0.003 -4.012 0.000 -0.019 -0.007
## SocINT -0.021 0.003 -6.411 0.000 -0.027 -0.015
## Std.lv Std.all FMI
## 5.588 5.588 0.037
## 3.281 3.281 0.040
## 4.406 4.406 0.253
## 2.426 2.426 0.214
## 1.936 1.121 0.051
## 0.403 0.188 0.001
## 0.289 0.253 0.039
## 27.762 4.402 0.006
## 1.366 2.836 -0.000
## 0.454 2.164 -0.000
## 0.446 0.300 0.004
## -0.610 -0.276 0.023
## 0.882 0.171 0.002
## -0.000 -0.000 -0.000
## 1.177 3.085 -0.000
## 1.176 3.089 0.006
## 0.033 0.084 0.031
## 0.026 0.063 0.034
## 0.082 0.099 0.083
## -0.013 -0.039 0.123
## -0.021 -0.062 0.123
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g3) 10.967 0.349 31.457 0.000 10.284 11.650
## .MEM_BL (h3) 2.293 0.031 72.872 0.000 2.231 2.354
## Vr_F_C.BL (i3) 24.124 0.364 66.299 0.000 23.411 24.837
## V_F_C.FU1 (i3) 24.124 0.364 66.299 0.000 23.411 24.837
## .MAT_Sc.BL (j3) 42.700 0.598 71.411 0.000 41.528 43.872
## .MAT_S.FU1 (j3) 42.700 0.598 71.411 0.000 41.528 43.872
## COG_REYII (k3) 2.446 0.024 100.723 0.000 2.399 2.494
## COG_REYII (k3) 2.446 0.024 100.723 0.000 2.399 2.494
## .EF_DELTA (m3) 0.955 0.233 4.098 0.000 0.498 1.412
## .MEM_DELTA (o3) 2.113 0.032 66.981 0.000 2.051 2.175
## Mltmrbdty 2.981 0.040 75.454 0.000 2.903 3.058
## Education 4.613 0.059 78.140 0.000 4.497 4.728
## Income 1.307 0.017 76.123 0.000 1.273 1.340
## BMI 39.770 0.511 77.876 0.000 38.769 40.771
## Source.BL 0.232 0.003 78.211 0.000 0.226 0.238
## White 0.044 0.001 78.211 0.000 0.043 0.045
## Smoking 2.208 0.028 78.038 0.000 2.153 2.264
## Alcohol 4.868 0.063 76.914 0.000 4.744 4.992
## Depressin 26.466 0.339 78.111 0.000 25.802 27.131
## Age_BL 0.290 0.004 78.211 0.000 0.282 0.297
## Langug_BL 0.145 0.002 78.211 0.000 0.142 0.149
## Langg_FU1 0.145 0.002 77.836 0.000 0.141 0.149
## Mtrl_dprv 0.158 0.002 76.681 0.000 0.154 0.162
## Scl_dprvt 0.163 0.002 76.680 0.000 0.159 0.167
## Physcl_ct 0.683 0.009 74.691 0.000 0.665 0.701
## MatINT 0.109 0.001 73.308 0.000 0.106 0.112
## SocINT 0.115 0.002 73.309 0.000 0.112 0.118
## Std.lv Std.all FMI
## 0.731 0.731 0.052
## 0.940 0.940 0.053
## 24.124 0.617 0.092
## 24.124 0.707 0.092
## 42.700 0.662 0.086
## 42.700 0.746 0.086
## 2.446 0.501 0.125
## 2.446 0.463 0.125
## 0.480 0.480 0.257
## 0.736 0.736 0.202
## 2.981 1.000 0.069
## 4.613 1.000 0.002
## 1.307 1.000 0.053
## 39.770 1.000 0.009
## 0.232 1.000 -0.000
## 0.044 1.000 -0.000
## 2.208 1.000 0.004
## 4.868 1.000 0.033
## 26.466 1.000 0.003
## 0.290 1.000 -0.000
## 0.145 1.000 -0.000
## 0.145 1.000 0.010
## 0.158 1.000 0.039
## 0.163 1.000 0.039
## 0.683 1.000 0.088
## 0.109 1.000 0.121
## 0.115 1.000 0.121
##
##
## Group 4 []:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_BL =~
## MAT_Sc.BL (b4) 1.278 0.005 273.622 0.000 1.269 1.287
## EF_FU1 =~
## MAT_S.FU1 (b4) 1.278 0.005 273.622 0.000 1.269 1.287
## MEM_BL =~
## COG_REYI_ (d4) 1.599 0.007 244.711 0.000 1.587 1.612
## MEM_FU1 =~
## COG_REYI_ (d4) 1.599 0.007 244.711 0.000 1.587 1.612
## Std.lv Std.all FMI
##
## 5.139 0.589 0.090
##
## 4.836 0.565 0.090
##
## 1.909 1.000 0.132
##
## 2.036 1.000 0.132
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## EF_DELTA ~
## EF_BL -0.165 0.025 -6.569 0.000 -0.214 -0.116
## MEM_DELTA ~
## MEM_BL -0.577 0.012 -47.572 0.000 -0.600 -0.553
## EF_DELTA ~
## Mltmrbd -0.052 0.026 -2.011 0.044 -0.102 -0.001
## Educatn 0.035 0.023 1.557 0.120 -0.009 0.080
## Income -0.019 0.056 -0.345 0.730 -0.128 0.090
## BMI 0.032 0.011 2.823 0.005 0.010 0.054
## Sorc.BL -0.487 0.098 -4.991 0.000 -0.678 -0.296
## White -0.069 0.238 -0.290 0.772 -0.535 0.397
## Smoking -0.011 0.041 -0.271 0.787 -0.092 0.069
## Alcohol 0.020 0.020 1.037 0.300 -0.018 0.059
## Deprssn -0.001 0.012 -0.107 0.915 -0.025 0.022
## EF_BL ~
## Mltmrbd 0.003 0.029 0.103 0.918 -0.054 0.060
## Educatn 0.478 0.022 21.499 0.000 0.434 0.521
## Income 0.548 0.064 8.549 0.000 0.422 0.674
## BMI -0.009 0.013 -0.691 0.489 -0.034 0.016
## Sorc.BL -0.092 0.113 -0.816 0.414 -0.312 0.129
## White 2.324 0.261 8.918 0.000 1.813 2.835
## Smoking -0.088 0.047 -1.883 0.060 -0.180 0.004
## Alcohol 0.170 0.022 7.709 0.000 0.127 0.213
## Deprssn -0.065 0.013 -4.877 0.000 -0.091 -0.039
## Age_BL -2.186 0.097 -22.469 0.000 -2.376 -1.995
## Lngg_BL -1.483 0.146 -10.184 0.000 -1.768 -1.197
## EF_DELTA ~
## Age_BL -0.555 0.100 -5.546 0.000 -0.752 -0.359
## Lng_FU1 0.038 0.131 0.293 0.770 -0.218 0.295
## EF_BL ~
## Mtrl_dp (c111) -0.362 0.146 -2.481 0.013 -0.648 -0.076
## Scl_dpr (c121) 0.155 0.132 1.174 0.240 -0.104 0.415
## Physcl_ (b11d) 0.268 0.085 3.156 0.002 0.102 0.435
## MatINT (int1) -0.161 0.204 -0.788 0.431 -0.561 0.239
## SocINT (int2) -0.515 0.200 -2.578 0.010 -0.906 -0.123
## EF_DELTA ~
## Mtrl_dp (c211) 0.043 0.129 0.330 0.741 -0.211 0.296
## Scl_dpr (c221) 0.013 0.116 0.108 0.914 -0.214 0.239
## Physcl_ (b21d) 0.238 0.071 3.356 0.001 0.099 0.377
## MatINT (int3) -0.068 0.170 -0.396 0.692 -0.401 0.266
## SocINT (int4) 0.217 0.168 1.290 0.197 -0.113 0.546
## MEM_DELTA ~
## Mltmrbd -0.003 0.008 -0.447 0.655 -0.018 0.011
## Educatn 0.034 0.006 5.853 0.000 0.022 0.045
## Income 0.081 0.016 5.000 0.000 0.049 0.112
## BMI 0.006 0.003 1.763 0.078 -0.001 0.012
## Sorc.BL -0.250 0.029 -8.690 0.000 -0.307 -0.194
## White 0.050 0.068 0.738 0.461 -0.083 0.184
## Smoking -0.022 0.012 -1.784 0.074 -0.046 0.002
## Alcohol 0.017 0.006 2.993 0.003 0.006 0.028
## Deprssn -0.003 0.003 -0.852 0.394 -0.010 0.004
## MEM_BL ~
## Mltmrbd -0.001 0.007 -0.074 0.941 -0.014 0.013
## Educatn 0.062 0.005 11.979 0.000 0.052 0.072
## Income 0.100 0.015 6.651 0.000 0.070 0.129
## BMI 0.003 0.003 0.882 0.378 -0.003 0.009
## Sorc.BL 0.108 0.026 4.147 0.000 0.057 0.159
## White 0.261 0.061 4.275 0.000 0.141 0.380
## Smoking -0.026 0.011 -2.364 0.018 -0.047 -0.004
## Alcohol 0.029 0.005 5.611 0.000 0.019 0.039
## Deprssn -0.016 0.003 -5.133 0.000 -0.022 -0.010
## Age_BL -0.511 0.023 -22.398 0.000 -0.556 -0.466
## Lngg_BL -0.152 0.034 -4.487 0.000 -0.218 -0.086
## MEM_DELTA ~
## Age_BL -0.399 0.026 -15.465 0.000 -0.449 -0.348
## Lng_FU1 0.057 0.037 1.528 0.126 -0.016 0.130
## MEM_BL ~
## Mtrl_dp (c122) -0.017 0.024 -0.737 0.461 -0.064 0.029
## Scl_dpr (c122) -0.017 0.024 -0.737 0.461 -0.064 0.029
## Physcl_ (b12d) 0.084 0.020 4.202 0.000 0.045 0.122
## MatINT (int5) -0.027 0.048 -0.577 0.564 -0.121 0.066
## SocINT (int6) -0.073 0.047 -1.559 0.119 -0.164 0.019
## MEM_DELTA ~
## Mtrl_dp (c212) 0.007 0.038 0.191 0.849 -0.067 0.082
## Scl_dpr (c222) 0.042 0.034 1.211 0.226 -0.026 0.109
## Physcl_ (b22d) 0.097 0.021 4.601 0.000 0.055 0.138
## MatINT (int7) 0.063 0.050 1.252 0.211 -0.036 0.162
## SocINT (int8) -0.094 0.050 -1.878 0.060 -0.192 0.004
## Std.lv Std.all FMI
##
## -0.506 -0.506 0.321
##
## -0.550 -0.550 0.295
##
## -0.039 -0.079 0.395
## 0.027 0.071 0.315
## -0.015 -0.014 0.299
## 0.024 0.103 0.314
## -0.371 -0.178 0.303
## -0.053 -0.011 0.336
## -0.008 -0.010 0.321
## 0.016 0.038 0.319
## -0.001 -0.004 0.334
##
## 0.001 0.001 0.135
## 0.119 0.314 0.058
## 0.136 0.132 0.099
## -0.002 -0.009 0.058
## -0.023 -0.011 0.049
## 0.578 0.117 0.054
## -0.022 -0.025 0.051
## 0.042 0.105 0.064
## -0.016 -0.066 0.065
## -0.544 -0.312 0.051
## -0.369 -0.135 0.038
##
## -0.424 -0.243 0.305
## 0.029 0.011 0.292
##
## -0.090 -0.036 0.094
## 0.039 0.016 0.087
## 0.067 0.046 0.146
## -0.040 -0.011 0.187
## -0.128 -0.036 0.187
##
## 0.033 0.013 0.336
## 0.010 0.004 0.321
## 0.182 0.126 0.322
## -0.052 -0.014 0.358
## 0.165 0.047 0.365
##
## -0.003 -0.005 0.363
## 0.027 0.071 0.294
## 0.065 0.062 0.290
## 0.005 0.020 0.291
## -0.200 -0.096 0.275
## 0.040 0.008 0.312
## -0.017 -0.020 0.308
## 0.014 0.034 0.309
## -0.002 -0.010 0.313
##
## -0.000 -0.001 0.131
## 0.052 0.136 0.061
## 0.084 0.081 0.105
## 0.002 0.010 0.071
## 0.091 0.043 0.058
## 0.219 0.044 0.064
## -0.022 -0.025 0.052
## 0.024 0.060 0.076
## -0.013 -0.054 0.070
## -0.428 -0.246 0.059
## -0.127 -0.047 0.033
##
## -0.319 -0.183 0.285
## 0.046 0.017 0.266
##
## -0.015 -0.006 0.091
## -0.015 -0.006 0.091
## 0.070 0.048 0.157
## -0.023 -0.006 0.189
## -0.061 -0.017 0.190
##
## 0.006 0.002 0.314
## 0.033 0.014 0.306
## 0.077 0.053 0.304
## 0.050 0.014 0.337
## -0.075 -0.021 0.355
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Verbal_Fluency_Conservative.BL ~~
## Vrbl_Fln_C.FU1 9.417 0.420 22.407 0.000
## .MAT_Score.BL ~~
## .MAT_Score.FU1 27.289 0.868 31.424 0.000
## COG_REYII_SCORE.BL ~~
## COG_REYII_SCOR 0.605 0.029 21.026 0.000
## .MEM_BL ~~
## .EF_DELTA 0.122 0.054 2.256 0.024
## .EF_BL ~~
## .MEM_DELTA 0.645 0.062 10.326 0.000
## .MEM_BL 1.394 0.060 23.111 0.000
## .EF_DELTA ~~
## .MEM_DELTA 0.330 0.050 6.624 0.000
## Multimorbidity ~~
## Education -0.522 0.060 -8.728 0.000
## Income -0.187 0.022 -8.396 0.000
## BMI 1.578 0.098 16.179 0.000
## Source.BL 0.028 0.011 2.658 0.008
## White 0.003 0.005 0.683 0.495
## Smoking 0.207 0.026 7.986 0.000
## Alcohol -0.471 0.056 -8.374 0.000
## Depression 1.673 0.094 17.809 0.000
## Age_BL 0.196 0.013 15.079 0.000
## Language_BL -0.003 0.008 -0.320 0.749
## Language_FU1 -0.002 0.008 -0.274 0.784
## Materil_dprvtn 0.045 0.009 5.051 0.000
## Social_deprvtn 0.044 0.009 4.733 0.000
## Physical_ctvty -0.277 0.017 -16.655 0.000
## MatINT 0.008 0.007 1.263 0.207
## SocINT -0.008 0.007 -1.100 0.271
## Education ~~
## Income 0.938 0.030 31.645 0.000
## BMI -1.234 0.121 -10.176 0.000
## Source.BL -0.150 0.014 -11.048 0.000
## White -0.029 0.006 -5.122 0.000
## Smoking -0.560 0.033 -16.955 0.000
## Alcohol 1.062 0.071 14.851 0.000
## Depression -0.944 0.115 -8.209 0.000
## Age_BL -0.155 0.016 -9.566 0.000
## Language_BL -0.062 0.010 -5.983 0.000
## Language_FU1 -0.061 0.010 -5.931 0.000
## Materil_dprvtn -0.296 0.012 -24.945 0.000
## Social_deprvtn -0.090 0.012 -7.534 0.000
## Physical_ctvty 0.128 0.021 6.161 0.000
## MatINT 0.013 0.009 1.548 0.122
## SocINT -0.004 0.009 -0.465 0.642
## Income ~~
## BMI -0.091 0.045 -2.009 0.045
## Source.BL -0.053 0.005 -10.496 0.000
## White 0.011 0.002 5.006 0.000
## Smoking -0.130 0.012 -10.618 0.000
## Alcohol 0.484 0.027 18.039 0.000
## Depression -0.643 0.043 -14.795 0.000
## Age_BL -0.052 0.006 -8.602 0.000
## Language_BL -0.048 0.004 -12.386 0.000
## Language_FU1 -0.048 0.004 -12.361 0.000
## Materil_dprvtn -0.125 0.004 -27.842 0.000
## Social_deprvtn -0.089 0.005 -19.677 0.000
## Physical_ctvty 0.086 0.008 11.178 0.000
## MatINT 0.001 0.003 0.365 0.715
## SocINT 0.009 0.003 2.656 0.008
## BMI ~~
## Source.BL -0.221 0.022 -10.084 0.000
## White 0.063 0.009 6.837 0.000
## Smoking 0.217 0.053 4.118 0.000
## Alcohol -0.757 0.114 -6.611 0.000
## Depression 0.527 0.185 2.843 0.004
## Age_BL -0.345 0.026 -13.063 0.000
## Language_BL 0.011 0.017 0.667 0.504
## Language_FU1 0.007 0.017 0.439 0.661
## Materil_dprvtn 0.100 0.019 5.378 0.000
## Social_deprvtn 0.038 0.019 1.985 0.047
## Physical_ctvty -0.281 0.034 -8.382 0.000
## MatINT -0.011 0.014 -0.783 0.434
## SocINT -0.012 0.014 -0.824 0.410
## Source.BL ~~
## White 0.001 0.001 0.609 0.542
## Smoking 0.024 0.006 4.094 0.000
## Alcohol -0.074 0.013 -5.836 0.000
## Depression 0.073 0.021 3.514 0.000
## Age_BL 0.017 0.003 5.713 0.000
## Language_BL -0.003 0.002 -1.390 0.165
## Language_FU1 -0.002 0.002 -0.813 0.416
## Materil_dprvtn 0.041 0.002 19.407 0.000
## Social_deprvtn 0.000 0.002 0.024 0.981
## Physical_ctvty -0.014 0.004 -3.766 0.000
## MatINT 0.002 0.002 1.121 0.262
## SocINT 0.001 0.002 0.502 0.616
## White ~~
## Smoking 0.013 0.002 5.249 0.000
## Alcohol 0.048 0.006 8.591 0.000
## Depression -0.017 0.009 -1.900 0.057
## Age_BL 0.002 0.001 1.882 0.060
## Language_BL 0.005 0.001 6.069 0.000
## Language_FU1 0.005 0.001 6.161 0.000
## Materil_dprvtn -0.003 0.001 -2.889 0.004
## Social_deprvtn 0.003 0.001 3.151 0.002
## Physical_ctvty 0.002 0.002 1.064 0.288
## MatINT 0.000 0.001 0.293 0.769
## SocINT 0.001 0.001 1.780 0.075
## Smoking ~~
## Alcohol 0.097 0.031 3.163 0.002
## Depression 0.353 0.050 7.058 0.000
## Age_BL -0.032 0.007 -4.554 0.000
## Language_BL 0.029 0.004 6.552 0.000
## Language_FU1 0.030 0.005 6.650 0.000
## Materil_dprvtn 0.049 0.005 9.883 0.000
## Social_deprvtn 0.050 0.005 9.737 0.000
## Physical_ctvty -0.066 0.009 -7.353 0.000
## MatINT -0.004 0.004 -0.957 0.339
## SocINT 0.001 0.004 0.377 0.706
## Alcohol ~~
## Depression -0.602 0.108 -5.549 0.000
## Age_BL -0.047 0.015 -3.100 0.002
## Language_BL 0.033 0.010 3.420 0.001
## Language_FU1 0.034 0.010 3.501 0.000
## Materil_dprvtn -0.151 0.011 -13.845 0.000
## Social_deprvtn -0.066 0.011 -5.904 0.000
## Physical_ctvty 0.138 0.019 7.097 0.000
## MatINT 0.007 0.008 0.932 0.351
## SocINT 0.002 0.008 0.266 0.790
## Depression ~~
## Age_BL 0.102 0.025 4.091 0.000
## Language_BL 0.024 0.016 1.517 0.129
## Language_FU1 0.029 0.016 1.809 0.070
## Materil_dprvtn 0.097 0.018 5.540 0.000
## Social_deprvtn 0.134 0.018 7.362 0.000
## Physical_ctvty -0.341 0.032 -10.634 0.000
## MatINT 0.002 0.013 0.177 0.859
## SocINT -0.021 0.013 -1.592 0.111
## Age_BL ~~
## Language_BL -0.003 0.002 -1.395 0.163
## Language_FU1 -0.003 0.002 -1.207 0.227
## Materil_dprvtn -0.004 0.002 -1.789 0.074
## Social_deprvtn 0.012 0.003 4.595 0.000
## Physical_ctvty -0.100 0.005 -21.820 0.000
## MatINT 0.001 0.002 0.747 0.455
## SocINT 0.001 0.002 0.770 0.442
## Language_BL ~~
## Language_FU1 0.130 0.002 65.547 0.000
## Materil_dprvtn 0.024 0.002 15.004 0.000
## Social_deprvtn 0.023 0.002 13.736 0.000
## Physical_ctvty -0.003 0.003 -1.111 0.267
## MatINT 0.001 0.001 0.670 0.503
## SocINT 0.001 0.001 0.897 0.370
## Language_FU1 ~~
## Materil_dprvtn 0.024 0.002 14.708 0.000
## Social_deprvtn 0.022 0.002 13.350 0.000
## Physical_ctvty -0.003 0.003 -1.101 0.271
## MatINT 0.001 0.001 0.482 0.630
## SocINT 0.001 0.001 0.895 0.371
## Material_deprivation ~~
## Social_deprvtn 0.011 0.002 5.929 0.000
## Physical_ctvty -0.008 0.003 -2.645 0.008
## MatINT -0.002 0.001 -1.465 0.143
## SocINT 0.000 0.001 0.287 0.774
## Social_deprivation ~~
## Physical_ctvty -0.030 0.003 -9.154 0.000
## MatINT 0.000 0.001 0.108 0.914
## SocINT 0.001 0.001 1.061 0.289
## Physical_activity ~~
## MatINT 0.013 0.002 6.027 0.000
## SocINT 0.019 0.002 8.412 0.000
## MatINT ~~
## SocINT 0.007 0.001 7.888 0.000
## ci.lower ci.upper Std.lv Std.all FMI
##
## 8.593 10.241 9.417 0.437 0.184
##
## 25.587 28.991 27.289 0.548 0.199
##
## 0.549 0.661 0.605 0.273 0.289
##
## 0.016 0.228 0.098 0.098 0.308
##
## 0.522 0.767 0.193 0.193 0.305
## 1.276 1.512 0.399 0.399 0.071
##
## 0.233 0.428 0.278 0.278 0.329
##
## -0.639 -0.405 -0.522 -0.098 0.102
## -0.231 -0.144 -0.187 -0.097 0.136
## 1.387 1.769 1.578 0.184 0.094
## 0.007 0.049 0.028 0.029 0.069
## -0.006 0.012 0.003 0.008 0.095
## 0.156 0.258 0.207 0.090 0.097
## -0.581 -0.361 -0.471 -0.095 0.109
## 1.489 1.857 1.673 0.206 0.116
## 0.170 0.221 0.196 0.170 0.082
## -0.019 0.013 -0.003 -0.004 0.084
## -0.018 0.014 -0.002 -0.003 0.095
## 0.028 0.063 0.045 0.057 0.111
## 0.026 0.063 0.044 0.054 0.125
## -0.310 -0.244 -0.277 -0.199 0.179
## -0.005 0.022 0.008 0.015 0.220
## -0.021 0.006 -0.008 -0.013 0.239
##
## 0.880 0.996 0.938 0.367 0.048
## -1.472 -0.997 -1.234 -0.109 0.006
## -0.176 -0.123 -0.150 -0.119 0.004
## -0.041 -0.018 -0.029 -0.055 0.008
## -0.625 -0.495 -0.560 -0.184 0.012
## 0.922 1.202 1.062 0.162 0.030
## -1.170 -0.719 -0.944 -0.088 0.013
## -0.187 -0.124 -0.155 -0.102 0.004
## -0.082 -0.042 -0.062 -0.064 0.005
## -0.082 -0.041 -0.061 -0.064 0.018
## -0.319 -0.273 -0.296 -0.282 0.045
## -0.113 -0.066 -0.090 -0.083 0.053
## 0.087 0.169 0.128 0.070 0.116
## -0.004 0.030 0.013 0.018 0.178
## -0.021 0.013 -0.004 -0.005 0.177
##
## -0.180 -0.002 -0.091 -0.022 0.055
## -0.063 -0.043 -0.053 -0.115 0.045
## 0.006 0.015 0.011 0.055 0.044
## -0.154 -0.106 -0.130 -0.117 0.059
## 0.432 0.537 0.484 0.203 0.068
## -0.728 -0.557 -0.643 -0.164 0.056
## -0.064 -0.040 -0.052 -0.094 0.049
## -0.056 -0.040 -0.048 -0.136 0.042
## -0.056 -0.040 -0.048 -0.136 0.051
## -0.133 -0.116 -0.125 -0.325 0.082
## -0.098 -0.080 -0.089 -0.224 0.086
## 0.071 0.102 0.086 0.129 0.139
## -0.005 0.007 0.001 0.004 0.189
## 0.002 0.015 0.009 0.031 0.193
##
## -0.264 -0.178 -0.221 -0.108 0.003
## 0.045 0.081 0.063 0.073 0.000
## 0.113 0.320 0.217 0.044 0.010
## -0.981 -0.532 -0.757 -0.071 0.028
## 0.164 0.890 0.527 0.030 0.010
## -0.397 -0.293 -0.345 -0.140 0.003
## -0.022 0.044 0.011 0.007 0.003
## -0.025 0.040 0.007 0.005 0.014
## 0.063 0.136 0.100 0.059 0.047
## 0.000 0.076 0.038 0.022 0.051
## -0.347 -0.216 -0.281 -0.095 0.111
## -0.038 0.016 -0.011 -0.009 0.171
## -0.039 0.016 -0.012 -0.010 0.168
##
## -0.001 0.003 0.001 0.006 -0.000
## 0.013 0.036 0.024 0.044 0.007
## -0.099 -0.049 -0.074 -0.063 0.024
## 0.032 0.113 0.073 0.038 0.007
## 0.011 0.022 0.017 0.061 -0.000
## -0.006 0.001 -0.003 -0.015 -0.000
## -0.005 0.002 -0.002 -0.009 0.013
## 0.037 0.045 0.041 0.215 0.040
## -0.004 0.004 0.000 0.000 0.047
## -0.021 -0.007 -0.014 -0.042 0.108
## -0.001 0.005 0.002 0.013 0.165
## -0.002 0.004 0.001 0.006 0.165
##
## 0.008 0.018 0.013 0.056 0.005
## 0.037 0.059 0.048 0.095 0.074
## -0.034 0.001 -0.017 -0.020 0.017
## -0.000 0.005 0.002 0.020 -0.000
## 0.003 0.006 0.005 0.065 -0.000
## 0.003 0.006 0.005 0.066 0.012
## -0.004 -0.001 -0.003 -0.031 0.035
## 0.001 0.005 0.003 0.034 0.039
## -0.001 0.005 0.002 0.012 0.121
## -0.001 0.001 0.000 0.003 0.167
## -0.000 0.003 0.001 0.021 0.167
##
## 0.037 0.158 0.097 0.034 0.034
## 0.255 0.451 0.353 0.076 0.013
## -0.046 -0.018 -0.032 -0.049 0.008
## 0.021 0.038 0.029 0.070 0.007
## 0.021 0.039 0.030 0.072 0.019
## 0.039 0.059 0.049 0.108 0.042
## 0.040 0.060 0.050 0.107 0.046
## -0.084 -0.049 -0.066 -0.083 0.115
## -0.011 0.004 -0.004 -0.011 0.162
## -0.006 0.009 0.001 0.004 0.164
##
## -0.815 -0.389 -0.602 -0.060 0.031
## -0.077 -0.017 -0.047 -0.033 0.022
## 0.014 0.052 0.033 0.037 0.013
## 0.015 0.053 0.034 0.038 0.024
## -0.172 -0.130 -0.151 -0.154 0.062
## -0.088 -0.044 -0.066 -0.065 0.067
## 0.100 0.177 0.138 0.081 0.121
## -0.008 0.023 0.007 0.011 0.183
## -0.014 0.018 0.002 0.003 0.176
##
## 0.053 0.151 0.102 0.044 0.009
## -0.007 0.055 0.024 0.016 0.005
## -0.002 0.060 0.029 0.019 0.017
## 0.063 0.132 0.097 0.060 0.047
## 0.098 0.169 0.134 0.080 0.048
## -0.404 -0.278 -0.341 -0.121 0.120
## -0.023 0.028 0.002 0.002 0.174
## -0.048 0.005 -0.021 -0.019 0.175
##
## -0.007 0.001 -0.003 -0.015 -0.000
## -0.007 0.002 -0.003 -0.013 0.011
## -0.009 0.000 -0.004 -0.019 0.042
## 0.007 0.017 0.012 0.050 0.047
## -0.109 -0.091 -0.100 -0.251 0.093
## -0.002 0.005 0.001 0.009 0.156
## -0.002 0.005 0.001 0.009 0.156
##
## 0.126 0.134 0.130 0.977 0.005
## 0.021 0.027 0.024 0.165 0.044
## 0.019 0.026 0.023 0.152 0.050
## -0.009 0.002 -0.003 -0.012 0.090
## -0.002 0.003 0.001 0.008 0.147
## -0.001 0.003 0.001 0.010 0.147
##
## 0.020 0.027 0.024 0.163 0.055
## 0.019 0.025 0.022 0.148 0.058
## -0.009 0.002 -0.003 -0.012 0.096
## -0.002 0.003 0.001 0.006 0.153
## -0.001 0.003 0.001 0.010 0.152
##
## 0.007 0.014 0.011 0.065 0.048
## -0.015 -0.002 -0.008 -0.030 0.141
## -0.004 0.001 -0.002 -0.017 0.164
## -0.002 0.003 0.000 0.003 0.164
##
## -0.036 -0.023 -0.030 -0.105 0.127
## -0.002 0.003 0.000 0.001 0.144
## -0.001 0.004 0.001 0.012 0.144
##
## 0.009 0.018 0.013 0.069 0.143
## 0.015 0.023 0.019 0.097 0.142
##
## 0.005 0.009 0.007 0.091 0.143
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (e4) 20.817 0.446 46.642 0.000 19.942 21.692
## .MEM_BL (f4) 2.899 0.104 27.757 0.000 2.695 3.104
## .EF_DELTA (l4) 2.403 0.650 3.695 0.000 1.128 3.677
## .MEM_DELTA (n4) 1.910 0.120 15.928 0.000 1.675 2.146
## Mltmrbdty 2.893 0.022 129.448 0.000 2.849 2.937
## Education -0.829 0.028 -29.456 0.000 -0.884 -0.774
## Income -0.075 0.011 -7.093 0.000 -0.095 -0.054
## BMI 27.627 0.046 606.249 0.000 27.537 27.716
## Source.BL 1.354 0.005 266.289 0.000 1.344 1.364
## White 0.457 0.002 211.979 0.000 0.453 0.461
## Smoking -0.471 0.012 -38.383 0.000 -0.495 -0.447
## Alcohol -0.865 0.027 -32.518 0.000 -0.917 -0.813
## Depressin 0.580 0.043 13.400 0.000 0.495 0.664
## Age_BL 0.000 0.006 0.000 1.000 -0.012 0.012
## Langug_BL 1.159 0.004 298.102 0.000 1.151 1.167
## Langg_FU1 1.158 0.004 297.370 0.000 1.150 1.165
## Mtrl_dprv 0.027 0.004 6.326 0.000 0.019 0.036
## Scl_dprvt 0.039 0.004 8.679 0.000 0.030 0.047
## Physcl_ct 0.031 0.008 3.992 0.000 0.016 0.046
## MatINT -0.006 0.003 -1.936 0.053 -0.012 0.000
## SocINT -0.027 0.003 -8.430 0.000 -0.034 -0.021
## Std.lv Std.all FMI
## 5.177 5.177 0.054
## 2.429 2.429 0.060
## 1.833 1.833 0.319
## 1.527 1.527 0.288
## 2.893 1.441 0.088
## -0.829 -0.314 0.004
## -0.075 -0.077 0.047
## 27.627 6.457 0.003
## 1.354 2.831 -0.000
## 0.457 2.254 -0.000
## -0.471 -0.410 0.007
## -0.865 -0.350 0.022
## 0.580 0.143 0.007
## 0.000 0.000 -0.000
## 1.159 3.170 -0.000
## 1.158 3.179 0.010
## 0.027 0.069 0.039
## 0.039 0.094 0.044
## 0.031 0.045 0.093
## -0.006 -0.022 0.148
## -0.027 -0.097 0.147
##
## Variances:
## Estimate Std.Err z-value P(>|z|) ci.lower ci.upper
## .EF_BL (g4) 9.969 0.391 25.468 0.000 9.202 10.736
## .MEM_BL (h4) 1.226 0.021 57.102 0.000 1.184 1.268
## Vr_F_C.BL (i4) 21.570 0.407 52.989 0.000 20.772 22.368
## V_F_C.FU1 (i4) 21.570 0.407 52.989 0.000 20.772 22.368
## .MAT_Sc.BL (j4) 49.834 0.829 60.079 0.000 48.208 51.460
## .MAT_S.FU1 (j4) 49.834 0.829 60.079 0.000 48.208 51.460
## COG_REYII (k4) 2.213 0.027 82.901 0.000 2.161 2.265
## COG_REYII (k4) 2.213 0.027 82.901 0.000 2.161 2.265
## .EF_DELTA (m4) 1.260 0.307 4.102 0.000 0.658 1.862
## .MEM_DELTA (o4) 1.121 0.022 51.492 0.000 1.079 1.164
## Mltmrbdty 4.030 0.064 63.141 0.000 3.905 4.155
## Education 6.983 0.105 66.354 0.000 6.777 7.190
## Income 0.934 0.014 64.417 0.000 0.905 0.962
## BMI 18.305 0.276 66.369 0.000 17.765 18.846
## Source.BL 0.229 0.003 66.502 0.000 0.222 0.235
## White 0.041 0.001 66.502 0.000 0.040 0.042
## Smoking 1.320 0.020 66.250 0.000 1.281 1.359
## Alcohol 6.119 0.093 65.645 0.000 5.937 6.302
## Depressin 16.421 0.248 66.249 0.000 15.935 16.907
## Age_BL 0.330 0.005 66.502 0.000 0.320 0.340
## Langug_BL 0.134 0.002 66.502 0.000 0.130 0.138
## Langg_FU1 0.133 0.002 65.880 0.000 0.129 0.137
## Mtrl_dprv 0.158 0.002 64.875 0.000 0.153 0.162
## Scl_dprvt 0.168 0.003 64.916 0.000 0.163 0.173
## Physcl_ct 0.480 0.008 62.969 0.000 0.465 0.495
## MatINT 0.076 0.001 61.577 0.000 0.074 0.079
## SocINT 0.080 0.001 61.577 0.000 0.078 0.083
## Std.lv Std.all FMI
## 0.617 0.617 0.078
## 0.861 0.861 0.072
## 21.570 0.572 0.123
## 21.570 0.601 0.123
## 49.834 0.654 0.118
## 49.834 0.681 0.118
## 2.213 0.608 0.174
## 2.213 0.577 0.174
## 0.733 0.733 0.341
## 0.717 0.717 0.247
## 4.030 1.000 0.099
## 6.983 1.000 0.004
## 0.934 1.000 0.062
## 18.305 1.000 0.004
## 0.229 1.000 -0.000
## 0.041 1.000 -0.000
## 1.320 1.000 0.008
## 6.119 1.000 0.025
## 16.421 1.000 0.008
## 0.330 1.000 -0.000
## 0.134 1.000 -0.000
## 0.133 1.000 0.019
## 0.158 1.000 0.048
## 0.168 1.000 0.047
## 0.480 1.000 0.103
## 0.076 1.000 0.143
## 0.080 1.000 0.143
6) Graph Set-Up
For Main Effects Model
#Determine Parameter Estimates
param2<-as.data.frame(parameterEstimates(mdl4_multi_fit))
#Group 1 (Males 45-64 years)
EF_BL_Mat_b5<-param2[70,7] #Baseline EF MAT slope
EF_BL_Soc_b5<-param2[71,7] #Baseline EF SOC slope
EF_BL_PA_b5<-param2[72,7] #Baseline EF PA slope
EF_BL_Mat_b5_se<-param2[70,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b5_se<-param2[71,8] #Baseline EF SOC slope standard error
EF_BL_PA_b5_se<-param2[72,8] #Baseline EF PA slope standard error
EF_Delta_Mat_b5<-param2[73,7] #Delta EF MAT slope
EF_Delta_Soc_b5<-param2[74,7] #Delta EF SOC slope
EF_Delta_PA_b5<-param2[75,7] #Delta EF PA slope
EF_Delta_Mat_b5_se<-param2[73,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b5_se<-param2[74,8] #Delta EF SOC slope standard error
EF_Delta_PA_b5_se<-param2[75,8] #Delta EF PA slope standard error
Mem_BL_Mat_b5<-param2[98,7] #Baseline Memory MAT slope
Mem_BL_Soc_b5<-param2[99,7] #Baseline Memory SOC slope
Mem_BL_PA_b5<-param2[100,7] #Baseline Memory PA slope
Mem_BL_Mat_b5_se<-param2[98,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b5_se<-param2[99,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b5_se<-param2[100,8] #Baseline Memory PA slope standard error
Mem_Delta_Mat_b5<-param2[101,7] #Delta Memory MAT slope
Mem_Delta_Soc_b5<-param2[102,7] #Delta Memory SOC slope
Mem_Delta_PA_b5<-param2[103,7] #Delta Memory PA slope
Mem_Delta_Mat_b5_se<-param2[101,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b5_se<-param2[102,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b5_se<-param2[103,8] #Delta Memory PA slope standard error
#Group 2 (65+ females)
EF_BL_Mat_b6<-param2[309,7] #Baseline EF MAT slope
EF_BL_Soc_b6<-param2[310,7] #Baseline EF SOC slope
EF_BL_PA_b6<-param2[311,7] #Baseline EF PA slope
EF_BL_Mat_b6_se<-param2[309,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b6_se<-param2[310,8] #Baseline EF SOC slope standard error
EF_BL_PA_b6_se<-param2[311,8] #Baseline EF PA slope standard error
EF_Delta_Mat_b6<-param2[312,7] #Delta EF MAT slope
EF_Delta_Soc_b6<-param2[313,7] #Delta EF SOC slope
EF_Delta_PA_b6<-param2[314,7] #Delta EF PA slope
EF_Delta_Mat_b6_se<-param2[312,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b6_se<-param2[313,8] #Delta EF SOC slope standard error
EF_Delta_PA_b6_se<-param2[314,8] #Delta EF PA slope standard error
Mem_BL_Mat_b6<-param2[337,7] #Baseline Memory MAT slope
Mem_BL_Soc_b6<-param2[338,7] #Baseline Memory SOC slope
Mem_BL_PA_b6<-param2[339,7] #Baseline Memory PA slope
Mem_BL_Mat_b6_se<-param2[337,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b6_se<-param2[338,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b6_se<-param2[339,8] #Baseline Memory PA slope standard error
Mem_Delta_Mat_b6<-param2[340,7] #Delta Memory MAT slope
Mem_Delta_Soc_b6<-param2[341,7] #Delta Memory SOC slope
Mem_Delta_PA_b6<-param2[342,7] #Delta Memory PA slope
Mem_Delta_Mat_b6_se<-param2[340,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b6_se<-param2[341,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b6_se<-param2[342,8] #Delta Memory PA slope standard error
#Group 3 (45-64 females)
EF_BL_Mat_b7<-param2[548,7] #Baseline EF MAT slope
EF_BL_Soc_b7<-param2[549,7] #Baseline EF SOC slope
EF_BL_PA_b7<-param2[550,7] #Baseline EF PA slope
EF_BL_Mat_b7_se<-param2[548,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b7_se<-param2[549,8] #Baseline EF SOC slope standard error
EF_BL_PA_b7_se<-param2[550,8] #Baseline EF PA slope standard error
EF_Delta_Mat_b7<-param2[551,7] #Delta EF MAT slope
EF_Delta_Soc_b7<-param2[552,7] #Delta EF SOC slope
EF_Delta_PA_b7<-param2[553,7] #Delta EF PA slope
EF_Delta_Mat_b7_se<-param2[551,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b7_se<-param2[552,8] #Delta EF SOC slope standard error
EF_Delta_PA_b7_se<-param2[553,8] #Delta EF PA slope standard error
Mem_BL_Mat_b7<-param2[576,7] #Baseline Memory MAT slope
Mem_BL_Soc_b7<-param2[577,7] #Baseline Memory SOC slope
Mem_BL_PA_b7<-param2[578,7] #Baseline Memory PA slope
Mem_BL_Mat_b7_se<-param2[576,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b7_se<-param2[577,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b7_se<-param2[578,8] #Baseline Memory PA slope standard error
Mem_Delta_Mat_b7<-param2[579,7] #Delta Memory MAT slope
Mem_Delta_Soc_b7<-param2[580,7] #Delta Memory SOC slope
Mem_Delta_PA_b7<-param2[581,7] #Delta Memory PA slope
Mem_Delta_Mat_b7_se<-param2[579,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b7_se<-param2[580,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b7_se<-param2[581,8] #Delta Memory PA slope standard error
#Group 4 (65+ Males)
EF_BL_Mat_b8<-param2[787,7] #Baseline EF MAT slope
EF_BL_Soc_b8<-param2[788,7] #Baseline EF SOC slope
EF_BL_PA_b8<-param2[789,7] #Baseline EF PA slope
EF_BL_Mat_b8_se<-param2[787,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b8_se<-param2[788,8] #Baseline EF SOC slope standard error
EF_BL_PA_b8_se<-param2[789,8] #Baseline EF PA slope standard error
EF_Delta_Mat_b8<-param2[790,7] #Delta EF MAT slope
EF_Delta_Soc_b8<-param2[791,7] #Delta EF SOC slope
EF_Delta_PA_b8<-param2[792,7] #Delta EF PA slope
EF_Delta_Mat_b8_se<-param2[790,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b8_se<-param2[791,8] #Delta EF SOC slope standard error
EF_Delta_PA_b8_se<-param2[792,8] #Delta EF PA slope standard error
Mem_BL_Mat_b8<-param2[815,7] #Baseline Memory MAT slope
Mem_BL_Soc_b8<-param2[816,7] #Baseline Memory SOC slope
Mem_BL_PA_b8<-param2[817,7] #Baseline Memory PA slope
Mem_BL_Mat_b8_se<-param2[815,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b8_se<-param2[816,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b8_se<-param2[817,8] #Baseline Memory PA slope standard error
Mem_Delta_Mat_b8<-param2[818,7] #Delta Memory MAT slope
Mem_Delta_Soc_b8<-param2[819,7] #Delta Memory SOC slope
Mem_Delta_PA_b8<-param2[820,7] #Delta Memory PA slope
Mem_Delta_Mat_b8_se<-param2[818,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b8_se<-param2[819,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b8_se<-param2[820,8] #Delta Memory PA slope standard error
For Interaction Model
#Determine parameter estimates
param<-as.data.frame(parameterEstimates(mdl_int2_age_sex_fit))
COV<-vcov(mdl_int2_age_sex_fit)
#Group 1 (45-64 males)
EF_BL_Mat_b1<-param[72,7] #Baseline EF MAT slope
EF_BL_Soc_b1<-param[73,7] #Baseline EF SOC slope
EF_BL_PA_b1<-param[74,7] #Baseline EF PA slope
EF_BL_Mat_b1_se<-param[72,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b1_se<-param[73,8] #Baseline EF SOC slope standard error
EF_BL_PA_b1_se<-param[74,8] #Baseline EF PA slope standard error
EF_BL_MatINT_b1<-param[75,7] #Baseline EF PA X MAT slope
EF_BL_SocINT_b1<-param[76,7] #Baseline EF PA X SOC slope
EF_BL_Mat_var1<-COV[49,49] #Baseline EF MAT variance
EF_BL_Soc_var1<-COV[50,50] #Baseline EF SOC variance
EF_BL_PA_var1<-COV[51,51] #Baseline EF PA variance
EF_BL_MatINT_var1<-COV[52,52] #Baseline EF PA X MAT variance
EF_BL_SocINT_var1<-COV[53,53] #Baseline EF PA X SOC variance
EF_BL_MatINT_cov1<-COV[49,52] #Baseline EF MAT and PA X MAT covariance
EF_BL_SocINT_cov1<-COV[50,53] #Baseline EF SOC and PA X SOC covariance
EF_Delta_Mat_b1<-param[77,7] #Delta EF MAT slope
EF_Delta_Soc_b1<-param[78,7] #Delta EF SOC slope
EF_Delta_PA_b1<-param[79,7] #Delta EF PA slope
EF_Delta_Mat_b1_se<-param[77,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b1_se<-param[78,8] #Delta EF SOC slope standard error
EF_Delta_PA_b1_se<-param[79,8] #Delta EF PA slope standard error
EF_Delta_MatINT_b1<-param[80,7] #Delta EF PA X MAT slope
EF_Delta_SocINT_b1<-param[81,7] #Delta EF PA X SOC slope
EF_Delta_Mat_var1<-COV[54,54] #Delta EF MAT variance
EF_Delta_Soc_var1<-COV[55,55] #Delta EF SOC variance
EF_Delta_PA_var1<-COV[56,56] #Delta EF PA variance
EF_Delta_MatINT_var1<-COV[57,57] #Delta EF PA X MAT variance
EF_Delta_SocINT_var1<-COV[58,58] #Delta EF PA X SOC variance
EF_Delta_MatINT_cov1<-COV[54,57] #Delta EF MAT and PA X MAT covariance
EF_Delta_SocINT_cov1<-COV[55,58] #Delta EF SOC and PA X SOC covariance
Mem_BL_Mat_b1<-param[104,7] #Baseline Memory MAT slope
Mem_BL_Soc_b1<-param[105,7] #Baseline Memory SOC slope
Mem_BL_PA_b1<-param[106,7] #Baseline Memory PA slope
Mem_BL_Mat_b1_se<-param[104,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b1_se<-param[105,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b1_se<-param[106,8] #Baseline Memory PA slope standard error
Mem_BL_MatINT_b1<-param[107,7] #Baseline Memory PA X MAT slope
Mem_BL_SocINT_b1<-param[108,7] #Baseline Memory PA X SOC slope
Mem_BL_Mat_var1<-COV[81,81] #Baseline Memory MAT variance
Mem_BL_Soc_var1<-COV[82,82] #Baseline Memory SOC variance
Mem_BL_PA_var1<-COV[83,83] #Baseline Memory PA variance
Mem_BL_MatINT_var1<-COV[84,84] #Baseline Memory PA X MAT variance
Mem_BL_SocINT_var1<-COV[85,85] #Baseline Memory PA X SOC variance
Mem_BL_MatINT_cov1<-COV[81,84] #Baseline Memory MAT and PA X MAT covariance
Mem_BL_SocINT_cov1<-COV[82,85] #Baseline Memory SOC and PA X SOC covariance
Mem_Delta_Mat_b1<-param[109,7] #Delta Memory MAT slope
Mem_Delta_Soc_b1<-param[110,7] #Delta Memory SOC slope
Mem_Delta_PA_b1<-param[111,7] #Delta Memory PA slope
Mem_Delta_Mat_b1_se<-param[109,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b1_se<-param[110,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b1_se<-param[111,8] #Delta Memory PA slope standard error
Mem_Delta_MatINT_b1<-param[112,7] #Delta Memory PA X MAT slope
Mem_Delta_SocINT_b1<-param[113,7] #Delta Memory PA X SOC slope
Mem_Delta_Mat_var1<-COV[86,86] #Delta Memory MAT variance
Mem_Delta_Soc_var1<-COV[87,87] #Delta Memory SOC variance
Mem_Delta_PA_var1<-COV[88,88] #Delta Memory PA variance
Mem_Delta_MatINT_var1<-COV[89,89] #Delta Memory PA X MAT variance
Mem_Delta_SocINT_var1<-COV[90,90] #Delta Memory PA X SOC variance
Mem_Delta_MatINT_cov1<-COV[86,89] #Delta Memory MAT and PA X MAT covariance
Mem_Delta_SocINT_cov1<-COV[87,90] #Delta Memory SOC and PA X SOC covariance
#Group 2 (65+ females)
EF_BL_Mat_b2<-param[356,7] #Baseline EF MAT slope
EF_BL_Soc_b2<-param[357,7] #Baseline EF SOC slope
EF_BL_PA_b2<-param[358,7] #Baseline EF PA slope
EF_BL_Mat_b2_se<-param[356,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b2_se<-param[357,8] #Baseline EF SOC slope standard error
EF_BL_PA_b2_se<-param[358,8] #Baseline EF PA slope standard error
EF_BL_MatINT_b2<-param[359,7] #Baseline EF PA X MAT slope
EF_BL_SocINT_b2<-param[360,7] #Baseline EF PA X SOC slope
EF_BL_Mat_var2<-COV[310,310] #Baseline EF MAT variance
EF_BL_Soc_var2<-COV[311,311] #Baseline EF SOC variance
EF_BL_PA_var2<-COV[312,312] #Baseline EF PA variance
EF_BL_MatINT_var2<-COV[313,313] #Baseline EF PA X MAT variance
EF_BL_SocINT_var2<-COV[314,314] #Baseline EF PA X SOC variance
EF_BL_MatINT_cov2<-COV[310,313] #Baseline EF MAT and PA X MAT covariance
EF_BL_SocINT_cov2<-COV[311,314] #Baseline EF SOC and PA X SOC covariance
EF_Delta_Mat_b2<-param[361,7] #Delta EF MAT slope
EF_Delta_Soc_b2<-param[362,7] #Delta EF SOC slope
EF_Delta_PA_b2<-param[363,7] #Delta EF PA slope
EF_Delta_Mat_b2_se<-param[361,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b2_se<-param[362,8] #Delta EF SOC slope standard error
EF_Delta_PA_b2_se<-param[363,8] #Delta EF PA slope standard error
EF_Delta_MatINT_b2<-param[364,7] #Delta EF PA X MAT slope
EF_Delta_SocINT_b2<-param[365,7] #Delta EF PA X SOC slope
EF_Delta_Mat_var2<-COV[315,315] #Delta EF MAT variance
EF_Delta_Soc_var2<-COV[316,316] #Delta EF SOC variance
EF_Delta_PA_var2<-COV[317,317] #Delta EF PA variance
EF_Delta_MatINT_var2<-COV[318,318] #Delta EF PA X MAT variance
EF_Delta_SocINT_var2<-COV[319,319] #Delta EF PA X SOC variance
EF_Delta_MatINT_cov2<-COV[315,318] #Delta EF MAT and PA X MAT covariance
EF_Delta_SocINT_cov2<-COV[316,319] #Delta EF SOC and PA X SOC covariance
Mem_BL_Mat_b2<-param[388,7] #Baseline Memory MAT slope
Mem_BL_Soc_b2<-param[389,7] #Baseline Memory SOC slope
Mem_BL_PA_b2<-param[390,7] #Baseline Memory PA slope
Mem_BL_Mat_b2_se<-param[388,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b2_se<-param[389,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b2_se<-param[390,8] #Baseline Memory PA slope standard error
Mem_BL_MatINT_b2<-param[391,7] #Baseline Memory PA X MAT slope
Mem_BL_SocINT_b2<-param[392,7] #Baseline Memory PA X SOC slope
Mem_BL_Mat_var2<-COV[342,342] #Baseline Memory MAT variance
Mem_BL_Soc_var2<-COV[343,343] #Baseline Memory SOC variance
Mem_BL_PA_var2<-COV[344,344] #Baseline Memory PA variance
Mem_BL_MatINT_var2<-COV[345,345] #Baseline Memory PA X MAT variance
Mem_BL_SocINT_var2<-COV[346,346] #Baseline Memory PA X SOC variance
Mem_BL_MatINT_cov2<-COV[342,345] #Baseline Memory MAT and PA X MAT covariance
Mem_BL_SocINT_cov2<-COV[343,346] #Baseline Memory SOC and PA X SOC covariance
Mem_Delta_Mat_b2<-param[393,7] #Delta Memory MAT slope
Mem_Delta_Soc_b2<-param[394,7] #Delta Memory SOC slope
Mem_Delta_PA_b2<-param[395,7] #Delta Memory PA slope
Mem_Delta_Mat_b2_se<-param[393,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b2_se<-param[394,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b2_se<-param[395,8] #Delta Memory PA slope standard error
Mem_Delta_MatINT_b2<-param[396,7] #Delta Memory PA X MAT slope
Mem_Delta_SocINT_b2<-param[397,7] #Delta Memory PA X SOC slope
Mem_Delta_Mat_var2<-COV[347,347] #Delta Memory MAT variance
Mem_Delta_Soc_var2<-COV[348,348] #Delta Memory SOC variance
Mem_Delta_PA_var2<-COV[349,349] #Delta Memory PA variance
Mem_Delta_MatINT_var2<-COV[350,350] #Delta Memory PA X MAT variance
Mem_Delta_SocINT_var2<-COV[351,351] #Delta Memory PA X SOC variance
Mem_Delta_MatINT_cov2<-COV[347,350] #Delta Memory MAT and PA X MAT covariance
Mem_Delta_SocINT_cov2<-COV[348,351] #Delta Memory SOC and PA X SOC covariance
#Group 3 (45-64 females)
EF_BL_Mat_b3<-param[640,7] #Baseline EF MAT slope
EF_BL_Soc_b3<-param[641,7] #Baseline EF SOC slope
EF_BL_PA_b3<-param[642,7] #Baseline EF PA slope
EF_BL_Mat_b3_se<-param[640,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b3_se<-param[641,8] #Baseline EF SOC slope standard error
EF_BL_PA_b3_se<-param[642,8] #Baseline EF PA slope standard error
EF_BL_MatINT_b3<-param[643,7] #Baseline EF PA X MAT slope
EF_BL_SocINT_b3<-param[644,7] #Baseline EF PA X SOC slope
EF_BL_Mat_var3<-COV[571,571] #Baseline EF MAT variance
EF_BL_Soc_var3<-COV[572,572] #Baseline EF SOC variance
EF_BL_PA_var3<-COV[573,573] #Baseline EF PA variance
EF_BL_MatINT_var3<-COV[574,574] #Baseline EF PA X MAT variance
EF_BL_SocINT_var3<-COV[575,575] #Baseline EF PA X SOC variance
EF_BL_MatINT_cov3<-COV[571,574] #Baseline EF MAT and PA X MAT covariance
EF_BL_SocINT_cov3<-COV[572,575] #Baseline EF SOC and PA X SOC covariance
EF_Delta_Mat_b3<-param[645,7] #Delta EF MAT slope
EF_Delta_Soc_b3<-param[646,7] #Delta EF SOC slope
EF_Delta_PA_b3<-param[647,7] #Delta EF PA slope
EF_Delta_Mat_b3_se<-param[645,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b3_se<-param[646,8] #Delta EF SOC slope standard error
EF_Delta_PA_b3_se<-param[647,8] #Delta EF PA slope standard error
EF_Delta_MatINT_b3<-param[648,7] #Delta EF PA X MAT slope
EF_Delta_SocINT_b3<-param[649,7] #Delta EF PA X SOC slope
EF_Delta_Mat_var3<-COV[576,576] #Delta EF MAT variance
EF_Delta_Soc_var3<-COV[577,577] #Delta EF SOC variance
EF_Delta_PA_var3<-COV[578,578] #Delta EF PA variance
EF_Delta_MatINT_var3<-COV[579,579] #Delta EF PA X MAT variance
EF_Delta_SocINT_var3<-COV[580,580] #Delta EF PA X SOC variance
EF_Delta_MatINT_cov3<-COV[576,579] #Delta EF MAT and PA X MAT covariance
EF_Delta_SocINT_cov3<-COV[577,580] #Delta EF SOC and PA X SOC covariance
Mem_BL_Mat_b3<-param[672,7] #Baseline Memory MAT slope
Mem_BL_Soc_b3<-param[673,7] #Baseline Memory SOC slope
Mem_BL_PA_b3<-param[674,7] #Baseline Memory PA slope
Mem_BL_Mat_b3_se<-param[672,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b3_se<-param[673,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b3_se<-param[674,8] #Baseline Memory PA slope standard error
Mem_BL_MatINT_b3<-param[675,7] #Baseline Memory PA X MAT slope
Mem_BL_SocINT_b3<-param[676,7] #Baseline Memory PA X SOC slope
Mem_BL_Mat_var3<-COV[603,603] #Baseline Memory MAT variance
Mem_BL_Soc_var3<-COV[604,604] #Baseline Memory SOC variance
Mem_BL_PA_var3<-COV[605,605] #Baseline Memory PA variance
Mem_BL_MatINT_var3<-COV[606,606] #Baseline Memory PA X MAT variance
Mem_BL_SocINT_var3<-COV[607,607] #Baseline Memory PA X SOC variance
Mem_BL_MatINT_cov3<-COV[603,606] #Baseline Memory MAT and PA X MAT covariance
Mem_BL_SocINT_cov3<-COV[604,607] #Baseline Memory SOC and PA X SOC covariance
Mem_Delta_Mat_b3<-param[677,7] #Delta Memory MAT slope
Mem_Delta_Soc_b3<-param[678,7] #Delta Memory SOC slope
Mem_Delta_PA_b3<-param[679,7] #Delta Memory PA slope
Mem_Delta_Mat_b3_se<-param[677,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b3_se<-param[678,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b3_se<-param[679,8] #Delta Memory PA slope standard error
Mem_Delta_MatINT_b3<-param[680,7] #Delta Memory PA X MAT slope
Mem_Delta_SocINT_b3<-param[681,7] #Delta Memory PA X SOC slope
Mem_Delta_Mat_var3<-COV[608,608] #Delta Memory MAT variance
Mem_Delta_Soc_var3<-COV[609,609] #Delta Memory SOC variance
Mem_Delta_PA_var3<-COV[610,610] #Delta Memory PA variance
Mem_Delta_MatINT_var3<-COV[611,611] #Delta Memory PA X MAT variance
Mem_Delta_SocINT_var3<-COV[612,612] #Delta Memory PA X SOC variance
Mem_Delta_MatINT_cov3<-COV[608,611] #Delta Memory MAT and PA X MAT covariance
Mem_Delta_SocINT_cov3<-COV[609,612] #Delta Memory SOC and PA X SOC covariance
#Group 4 (65+ Males)
EF_BL_Mat_b4<-param[924,7] #Baseline EF MAT slope
EF_BL_Soc_b4<-param[925,7] #Baseline EF SOC slope
EF_BL_PA_b4<-param[926,7] #Baseline EF PA slope
EF_BL_Mat_b4_se<-param[924,8] #Baseline EF MAT slope standard error
EF_BL_Soc_b4_se<-param[925,8] #Baseline EF SOC slope standard error
EF_BL_PA_b4_se<-param[926,8] #Baseline EF PA slope standard error
EF_BL_MatINT_b4<-param[927,7] #Baseline EF PA X MAT slope
EF_BL_SocINT_b4<-param[928,7] #Baseline EF PA X SOC slope
EF_BL_Mat_var4<-COV[832,832] #Baseline EF MAT variance
EF_BL_Soc_var4<-COV[833,833] #Baseline EF SOC variance
EF_BL_PA_var4<-COV[834,834] #Baseline EF PA variance
EF_BL_MatINT_var4<-COV[835,835] #Baseline EF PA X MAT variance
EF_BL_SocINT_var4<-COV[836,836] #Baseline EF PA X SOC variance
EF_BL_MatINT_cov4<-COV[832,835] #Baseline EF MAT and PA X MAT covariance
EF_BL_SocINT_cov4<-COV[833,836] #Baseline EF SOC and PA X SOC covariance
EF_Delta_Mat_b4<-param[929,7] #Delta EF MAT slope
EF_Delta_Soc_b4<-param[930,7] #Delta EF SOC slope
EF_Delta_PA_b4<-param[931,7] #Delta EF PA slope
EF_Delta_Mat_b4_se<-param[929,8] #Delta EF MAT slope standard error
EF_Delta_Soc_b4_se<-param[930,8] #Delta EF SOC slope standard error
EF_Delta_PA_b4_se<-param[931,8] #Delta EF PA slope standard error
EF_Delta_MatINT_b4<-param[932,7] #Delta EF PA X MAT slope
EF_Delta_SocINT_b4<-param[933,7] #Delta EF PA X SOC slope
EF_Delta_Mat_var4<-COV[837,837] #Delta EF MAT variance
EF_Delta_Soc_var4<-COV[838,838] #Delta EF SOC variance
EF_Delta_PA_var4<-COV[839,839] #Delta EF PA variance
EF_Delta_MatINT_var4<-COV[840,840] #Delta EF PA X MAT variance
EF_Delta_SocINT_var4<-COV[841,841] #Delta EF PA X SOC variance
EF_Delta_MatINT_cov4<-COV[837,840] #Delta EF MAT and PA X MAT covariance
EF_Delta_SocINT_cov4<-COV[838,841] #Delta EF SOC and PA X SOC covariance
Mem_BL_Mat_b4<-param[956,7] #Baseline Memory MAT slope
Mem_BL_Soc_b4<-param[957,7] #Baseline Memory SOC slope
Mem_BL_PA_b4<-param[958,7] #Baseline Memory PA slope
Mem_BL_Mat_b4_se<-param[956,8] #Baseline Memory MAT slope standard error
Mem_BL_Soc_b4_se<-param[957,8] #Baseline Memory SOC slope standard error
Mem_BL_PA_b4_se<-param[958,8] #Baseline Memory PA slope standard error
Mem_BL_MatINT_b4<-param[959,7] #Baseline Memory PA X MAT slope
Mem_BL_SocINT_b4<-param[960,7] #Baseline Memory PA X SOC slope
Mem_BL_Mat_var4<-COV[864,864] #Baseline Memory MAT variance
Mem_BL_Soc_var4<-COV[865,865] #Baseline Memory SOC variance
Mem_BL_PA_var4<-COV[866,866] #Baseline Memory PA variance
Mem_BL_MatINT_var4<-COV[867,867] #Baseline Memory PA X MAT variance
Mem_BL_SocINT_var4<-COV[868,868] #Baseline Memory PA X SOC variance
Mem_BL_MatINT_cov4<-COV[864,867] #Baseline Memory MAT and PA X MAT covariance
Mem_BL_SocINT_cov4<-COV[865,868] #Baseline Memory SOC and PA X SOC covariance
Mem_Delta_Mat_b4<-param[961,7] #Delta Memory MAT slope
Mem_Delta_Soc_b4<-param[962,7] #Delta Memory SOC slope
Mem_Delta_PA_b4<-param[963,7] #Delta Memory PA slope
Mem_Delta_Mat_b4_se<-param[961,8] #Delta Memory MAT slope standard error
Mem_Delta_Soc_b4_se<-param[962,8] #Delta Memory SOC slope standard error
Mem_Delta_PA_b4_se<-param[963,8] #Delta Memory PA slope standard error
Mem_Delta_MatINT_b4<-param[964,7] #Delta Memory PA X MAT slope
Mem_Delta_SocINT_b4<-param[965,7] #Delta Memory PA X SOC slope
Mem_Delta_Mat_var4<-COV[869,869] #Delta Memory MAT variance
Mem_Delta_Soc_var4<-COV[870,870] #Delta Memory SOC variance
Mem_Delta_PA_var4<-COV[871,871] #Delta Memory PA variance
Mem_Delta_MatINT_var4<-COV[872,872] #Delta Memory PA X MAT variance
Mem_Delta_SocINT_var4<-COV[873,873] #Delta Memory PA X SOC variance
Mem_Delta_MatINT_cov4<-COV[869,872] #Delta Memory MAT and PA X MAT covariance
Mem_Delta_SocINT_cov4<-COV[870,873] #Delta Memory SOC and PA X SOC covariance
Standardized estimates for graphing
sd1<- seq(-2,2,by=.25)
sds<-wide.data3%>%
mutate(AgeGrp = fct_collapse(factor(Agebin.BL),
`45-64` = c("1","2"),
`65+` = c("3","4")),
Sex = factor(SEX_ASK.BL,
levels = c("F","M"),
labels = c("Female","Male")),
Age_sex = paste(AgeGrp,Sex)
) %>%
group_by(Age_sex) %>%
mutate(#CENTER FOLLOWING AT MEDIAN
Material_deprivation = (MSDYY_MFS.BL - median (MSDYY_MFS.BL, na.rm=TRUE))*10 ,
Social_deprivation = (MSDYY_SFS.BL - median (MSDYY_SFS.BL, na.rm=TRUE))*10,
Physical_activity = (PASE_total.BL - median (PASE_total.BL, na.rm=TRUE)) /100
) %>%
summarise(Material_deprivation_sd = sd(Material_deprivation,na.rm=T),
Social_deprivation_sd = sd(Social_deprivation,na.rm=T),
Physical_activity_sd = sd(Physical_activity,na.rm=T))
sd2a <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="45-64 Male","Physical_activity_sd"])
sd2b <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="45-64 Female","Physical_activity_sd"])
sd2c <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="65+ Male","Physical_activity_sd"])
sd2d <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="65+ Female","Physical_activity_sd"])
sd3a <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="45-64 Male","Material_deprivation_sd"])
sd3b <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="45-64 Female","Material_deprivation_sd"])
sd3c <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="65+ Male","Material_deprivation_sd"])
sd3d <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="65+ Female","Material_deprivation_sd"])
sd4a <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="45-64 Male","Social_deprivation_sd"])
sd4b <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="45-64 Female","Social_deprivation_sd"])
sd4c <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="65+ Male","Social_deprivation_sd"])
sd4d <- seq(-2,2,by=.25)*as.matrix(sds[sds$Age_sex=="65+ Female","Social_deprivation_sd"])
7) Main effects graphs
Main effects are presented separately for physical activity, material
deprivation, and social deprivation stratified by
7.1) Relationship between PASE score and Memory based on age and
biological sex
Baseline Executive Function
PA1<-EF_BL_PA_b5*(sd2a)
UB_PA<-PA1 + EF_BL_PA_b5_se*qnorm(.975)
LB_PA<-PA1 + EF_BL_PA_b5_se*qnorm(0.025)
EF_PA1a<-data.frame(PA1,UB_PA,LB_PA,sd1)
EF_PA1a$Group<-"Males 45-64 years"
PA1<-EF_BL_PA_b6*(sd2b)
UB_PA<-PA1 + EF_BL_PA_b6_se*qnorm(.975)
LB_PA<-PA1 + EF_BL_PA_b6_se*qnorm(0.025)
EF_PA2a<-data.frame(PA1,UB_PA,LB_PA,sd1)
EF_PA2a$Group<-"Females 45-64 years"
PA1<-EF_BL_PA_b7*(sd2c)
UB_PA<-PA1 + EF_BL_PA_b7_se*qnorm(.975)
LB_PA<-PA1 + EF_BL_PA_b7_se*qnorm(0.025)
EF_PA3a<-data.frame(PA1,UB_PA,LB_PA,sd1)
EF_PA3a$Group<-"Males 65+ years"
PA1<-EF_BL_PA_b8*(sd2d)
UB_PA<-PA1 + EF_BL_PA_b8_se*qnorm(.975)
LB_PA<-PA1 + EF_BL_PA_b8_se*qnorm(0.025)
EF_PA4a<-data.frame(PA1,UB_PA,LB_PA,sd1)
EF_PA4a$Group<-"Females 65+ years"
EF_PA <- rbind(EF_PA1a,EF_PA2a,EF_PA3a,EF_PA4a)
ggplot(EF_PA, aes(x= sd1, y = PA1, ymin=LB_PA, ymax=UB_PA, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"))+
xlab('Standardized PASE Scores')+
ylab('Baseline Executive Function')+
ggtitle("Association of PASE score with Baseline Executive Function
based on age and biological sex")
Delta Executive Function
PA2<-EF_Delta_PA_b5*(sd2a)
UB_PA<-PA2 + EF_Delta_PA_b5_se*qnorm(.975)
LB_PA<-PA2 + EF_Delta_PA_b5_se*qnorm(0.025)
EF_PA5a<-data.frame(PA2,UB_PA,LB_PA,sd1)
EF_PA5a$Group<-"Males 45-64 years"
PA2<-EF_Delta_PA_b6*(sd2b)
UB_PA<-PA2 + EF_Delta_PA_b6_se*qnorm(.975)
LB_PA<-PA2 + EF_Delta_PA_b6_se*qnorm(0.025)
EF_PA6a<-data.frame(PA2,UB_PA,LB_PA,sd1)
EF_PA6a$Group<-"Females 45-64 years"
PA2<-EF_Delta_PA_b7*(sd2c)
UB_PA<-PA2 + EF_Delta_PA_b7_se*qnorm(.975)
LB_PA<-PA2 + EF_Delta_PA_b7_se*qnorm(0.025)
EF_PA7a<-data.frame(PA2,UB_PA,LB_PA,sd1)
EF_PA7a$Group<-"Males 65+ years"
PA2<-EF_Delta_PA_b8*(sd2d)
UB_PA<-PA2 + EF_Delta_PA_b8_se*qnorm(.975)
LB_PA<-PA2 + EF_Delta_PA_b8_se*qnorm(0.025)
EF_PA8a<-data.frame(PA2,UB_PA,LB_PA,sd1)
EF_PA8a$Group<-"Females 65+ years"
EF_PA <- rbind(EF_PA5a,EF_PA6a,EF_PA7a,EF_PA8a)
ggplot(EF_PA, aes(x= sd1, y = PA2, ymin=LB_PA, ymax=UB_PA, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"))+
xlab('Standardized PASE Scores')+
ylab('\u2206 Executive Function')+
ggtitle("Association of PASE score with \u2206 Executive Function
based on age and biological sex")
Baseline Memory
PA1<-Mem_BL_PA_b5*(sd2a)
UB_PA<-PA1 + Mem_BL_PA_b5_se*qnorm(.975)
LB_PA<-PA1 + Mem_BL_PA_b5_se*qnorm(0.025)
Mem_PA1a<-data.frame(PA1,UB_PA,LB_PA,sd1)
Mem_PA1a$Group<-"Males 45-64 years"
PA1<-Mem_BL_PA_b6*(sd2b)
UB_PA<-PA1 + Mem_BL_PA_b6_se*qnorm(.975)
LB_PA<-PA1 + Mem_BL_PA_b6_se*qnorm(0.025)
Mem_PA2a<-data.frame(PA1,UB_PA,LB_PA,sd1)
Mem_PA2a$Group<-"Females 45-64 years"
PA1<-Mem_BL_PA_b7*(sd2c)
UB_PA<-PA1 + Mem_BL_PA_b7_se*qnorm(.975)
LB_PA<-PA1 + Mem_BL_PA_b7_se*qnorm(0.025)
Mem_PA3a<-data.frame(PA1,UB_PA,LB_PA,sd1)
Mem_PA3a$Group<-"Males 65+ years"
PA1<-Mem_BL_PA_b8*(sd2d)
UB_PA<-PA1 + Mem_BL_PA_b8_se*qnorm(.975)
LB_PA<-PA1 + Mem_BL_PA_b8_se*qnorm(0.025)
Mem_PA4a<-data.frame(PA1,UB_PA,LB_PA,sd1)
Mem_PA4a$Group<-"Females 65+ years"
Mem_PA <- rbind(Mem_PA1a,Mem_PA2a,Mem_PA3a,Mem_PA4a)
ggplot(Mem_PA, aes(x= sd1, y = PA1, ymin=LB_PA, ymax=UB_PA, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black"))+
xlab('Standardized PASE Scores')+
ylab('Baseline Memory')+
ggtitle("Association of PASE score with Baseline Memory
based on age and biological sex")
Delta Memory
PA2<-Mem_Delta_PA_b5*(sd2a)
UB_PA<-PA2 + Mem_Delta_PA_b5_se*qnorm(.975)
LB_PA<-PA2 + Mem_Delta_PA_b5_se*qnorm(0.025)
Mem_PA5a<-data.frame(PA2,UB_PA,LB_PA,sd1)
Mem_PA5a$Group<-"Males 45-64 years"
PA2<-Mem_Delta_PA_b6*(sd2b)
UB_PA<-PA2 + Mem_Delta_PA_b6_se*qnorm(.975)
LB_PA<-PA2 + Mem_Delta_PA_b6_se*qnorm(0.025)
Mem_PA6a<-data.frame(PA2,UB_PA,LB_PA,sd1)
Mem_PA6a$Group<-"Females 45-64 years"
PA2<-Mem_Delta_PA_b7*(sd2c)
UB_PA<-PA2 + Mem_Delta_PA_b7_se*qnorm(.975)
LB_PA<-PA2 + Mem_Delta_PA_b7_se*qnorm(0.025)
Mem_PA7a<-data.frame(PA2,UB_PA,LB_PA,sd1)
Mem_PA7a$Group<-"Males 65+ years"
PA2<-Mem_Delta_PA_b8*(sd2d)
UB_PA<-PA2 + Mem_Delta_PA_b8_se*qnorm(.975)
LB_PA<-PA2 + Mem_Delta_PA_b8_se*qnorm(0.025)
Mem_PA8a<-data.frame(PA2,UB_PA,LB_PA,sd1)
Mem_PA8a$Group<-"Females 65+ years"
Mem_PA <- rbind(Mem_PA5a,Mem_PA6a,Mem_PA7a,Mem_PA8a)
ggplot(Mem_PA, aes(x= sd1, y = PA2, ymin=LB_PA, ymax=UB_PA, group=Group, colour=Group)) +
geom_line() +
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized PASE Scores')+
ylab('\u2206 Memory')+
ggtitle("Association of PASE score with \u2206 Memory
based on age and biological sex")
7.2) Material Deprivation
Baseline Executive Function
Mat1<-EF_BL_Mat_b5*(sd3a)
UB_Mat<-Mat1 + EF_BL_Mat_b5_se*qnorm(.975)
LB_Mat<-Mat1 + EF_BL_Mat_b5_se*qnorm(0.025)
EF_Mat1a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
EF_Mat1a$Group<-"Males 45-64 years"
Mat1<-EF_BL_Mat_b6*(sd3b)
UB_Mat<-Mat1 + EF_BL_Mat_b6_se*qnorm(.975)
LB_Mat<-Mat1 + EF_BL_Mat_b6_se*qnorm(0.025)
EF_Mat2a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
EF_Mat2a$Group<-"Females 45-64 years"
Mat1<-EF_BL_Mat_b7*(sd3c)
UB_Mat<-Mat1 + EF_BL_Mat_b7_se*qnorm(.975)
LB_Mat<-Mat1 + EF_BL_Mat_b7_se*qnorm(0.025)
EF_Mat3a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
EF_Mat3a$Group<-"Males 65+ years"
Mat1<-EF_BL_Mat_b8*(sd3d)
UB_Mat<-Mat1 + EF_BL_Mat_b8_se*qnorm(.975)
LB_Mat<-Mat1 + EF_BL_Mat_b8_se*qnorm(0.025)
EF_Mat4a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
EF_Mat4a$Group<-"Females 65+ years"
EF_Mat <- rbind(EF_Mat1a,EF_Mat2a,EF_Mat3a,EF_Mat4a)
ggplot(EF_Mat, aes(x= sd1, y = Mat1, ymin=LB_Mat, ymax=UB_Mat, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Material Deprivation Scores')+
ylab('Baseline Executive Function')+
ggtitle("Association of Material Deprivation with Baseline Executive Function
based on age and biological sex")
Delta Executive Function
Mat2<-EF_Delta_Mat_b5*(sd3a)
UB_Mat<-Mat2 + EF_Delta_Mat_b5_se*qnorm(.975)
LB_Mat<-Mat2 + EF_Delta_Mat_b5_se*qnorm(0.025)
EF_Mat5a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
EF_Mat5a$Group<-"Males 45-64 years"
Mat2<-EF_Delta_Mat_b6*(sd3b)
UB_Mat<-Mat2 + EF_Delta_Mat_b6_se*qnorm(.975)
LB_Mat<-Mat2 + EF_Delta_Mat_b6_se*qnorm(0.025)
EF_Mat6a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
EF_Mat6a$Group<-"Females 45-64 years"
Mat2<-EF_Delta_Mat_b7*(sd3c)
UB_Mat<-Mat2 + EF_Delta_Mat_b7_se*qnorm(.975)
LB_Mat<-Mat2 + EF_Delta_Mat_b7_se*qnorm(0.025)
EF_Mat7a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
EF_Mat7a$Group<-"Males 65+ years"
Mat2<-EF_Delta_Mat_b8*(sd3d)
UB_Mat<-Mat2 + EF_Delta_Mat_b8_se*qnorm(.975)
LB_Mat<-Mat2 + EF_Delta_Mat_b8_se*qnorm(0.025)
EF_Mat8a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
EF_Mat8a$Group<-"Females 65+ years"
EF_Mat <- rbind(EF_Mat5a,EF_Mat6a,EF_Mat7a,EF_Mat8a)
ggplot(EF_Mat, aes(x= sd1, y = Mat2, ymin=LB_Mat, ymax=UB_Mat, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Material Deprivation Scores')+
ylab('\u2206 Executive Function')+
ggtitle("Association of Material Deprivation score with \u2206 Executive Function
based on age and biological sex")
Baseline Memory Function
Mat1<-Mem_BL_Mat_b5*(sd3a)
UB_Mat<-Mat1 + Mem_BL_Mat_b5_se*qnorm(.975)
LB_Mat<-Mat1 + Mem_BL_Mat_b5_se*qnorm(0.025)
Mem_Mat1a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
Mem_Mat1a$Group<-"Males 45-64 years"
Mat1<-Mem_BL_Mat_b6*(sd3b)
UB_Mat<-Mat1 + Mem_BL_Mat_b6_se*qnorm(.975)
LB_Mat<-Mat1 + Mem_BL_Mat_b6_se*qnorm(0.025)
Mem_Mat2a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
Mem_Mat2a$Group<-"Females 45-64 years"
Mat1<-Mem_BL_Mat_b7*(sd3c)
UB_Mat<-Mat1 + Mem_BL_Mat_b7_se*qnorm(.975)
LB_Mat<-Mat1 + Mem_BL_Mat_b7_se*qnorm(0.025)
Mem_Mat3a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
Mem_Mat3a$Group<-"Males 65+ years"
Mat1<-Mem_BL_Mat_b8*(sd3d)
UB_Mat<-Mat1 + Mem_BL_Mat_b8_se*qnorm(.975)
LB_Mat<-Mat1 + Mem_BL_Mat_b8_se*qnorm(0.025)
Mem_Mat4a<-data.frame(Mat1,UB_Mat,LB_Mat,sd1)
Mem_Mat4a$Group<-"Females 65+ years"
Mem_Mat <- rbind(Mem_Mat1a,Mem_Mat2a,Mem_Mat3a,Mem_Mat4a)
ggplot(Mem_Mat, aes(x= sd1, y = Mat1, ymin=LB_Mat, ymax=UB_Mat, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Material Deprivation Scores')+
ylab('Baseline Memory')+
ggtitle("Association of Material Deprivation score with Baseline Memory
based on age and biological sex")
Delta Memory Function
Mat2<-Mem_Delta_Mat_b5*(sd3a)
UB_Mat<-Mat2 + Mem_Delta_Mat_b5_se*qnorm(.975)
LB_Mat<-Mat2 + Mem_Delta_Mat_b5_se*qnorm(0.025)
Mem_Mat5a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
Mem_Mat5a$Group<-"Males 45-64 years"
Mat2<-Mem_Delta_Mat_b6*(sd3b)
UB_Mat<-Mat2 + Mem_Delta_Mat_b6_se*qnorm(.975)
LB_Mat<-Mat2 + Mem_Delta_Mat_b6_se*qnorm(0.025)
Mem_Mat6a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
Mem_Mat6a$Group<-"Females 45-64 years"
Mat2<-Mem_Delta_Mat_b7*(sd3c)
UB_Mat<-Mat2 + Mem_Delta_Mat_b7_se*qnorm(.975)
LB_Mat<-Mat2 + Mem_Delta_Mat_b7_se*qnorm(0.025)
Mem_Mat7a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
Mem_Mat7a$Group<-"Males 65+ yearss"
Mat2<-Mem_Delta_Mat_b8*(sd3d)
UB_Mat<-Mat2 + Mem_Delta_Mat_b8_se*qnorm(.975)
LB_Mat<-Mat2 + Mem_Delta_Mat_b8_se*qnorm(0.025)
Mem_Mat8a<-data.frame(Mat2,UB_Mat,LB_Mat,sd1)
Mem_Mat8a$Group<-"Females 65+ years"
Mem_Mat <- rbind(Mem_Mat5a,Mem_Mat6a,Mem_Mat7a,Mem_Mat8a)
ggplot(Mem_Mat, aes(x= sd1, y = Mat2, ymin=LB_Mat, ymax=UB_Mat, fgroup=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Material Deprivation Scores')+
ylab('\u2206 Memory')+
ggtitle("Association of Material Deprivation Score with \u2206 Memory
based on age and biological sex")
7.3) Social Deprivation
Baseline Executive Function
Soc1<-EF_BL_Soc_b5*(sd4a)
UB_Soc<-Soc1 + EF_BL_Soc_b5_se*qnorm(.975)
LB_Soc<-Soc1 + EF_BL_Soc_b5_se*qnorm(0.025)
EF_Soc1a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
EF_Soc1a$Group<-"Males 45-64 years"
Soc1<-EF_BL_Soc_b6*(sd4b)
UB_Soc<-Soc1 + EF_BL_Soc_b6_se*qnorm(.975)
LB_Soc<-Soc1 + EF_BL_Soc_b6_se*qnorm(0.025)
EF_Soc2a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
EF_Soc2a$Group<-"Females 45-64 years"
Soc1<-EF_BL_Soc_b7*(sd4c)
UB_Soc<-Soc1 + EF_BL_Soc_b7_se*qnorm(.975)
LB_Soc<-Soc1 + EF_BL_Soc_b7_se*qnorm(0.025)
EF_Soc3a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
EF_Soc3a$Group<-"Males 65+ years"
Soc1<-EF_BL_Soc_b8*(sd4d)
UB_Soc<-Soc1 + EF_BL_Soc_b8_se*qnorm(.975)
LB_Soc<-Soc1 + EF_BL_Soc_b8_se*qnorm(0.025)
EF_Soc4a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
EF_Soc4a$Group<-"Females 65+ years"
EF_Soc <- rbind(EF_Soc1a,EF_Soc2a,EF_Soc3a,EF_Soc4a)
ggplot(EF_Soc, aes(x= sd1, y = Soc1, ymin=LB_Soc, ymax=UB_Soc, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('Baseline Executive Function')+
ggtitle("Association of Social Deprivation with Baseline Executive Function
based on age and biological sex")
Delta Executive Function
Soc2<-EF_Delta_Soc_b5*(sd4a)
UB_Soc<-Soc2 + EF_Delta_Soc_b5_se*qnorm(.975)
LB_Soc<-Soc2 + EF_Delta_Soc_b5_se*qnorm(0.025)
EF_Soc5a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
EF_Soc5a$Group<-"Males 45-64 years"
Soc2<-EF_Delta_Soc_b6*(sd4b)
UB_Soc<-Soc2 + EF_Delta_Soc_b6_se*qnorm(.975)
LB_Soc<-Soc2 + EF_Delta_Soc_b6_se*qnorm(0.025)
EF_Soc6a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
EF_Soc6a$Group<-"Females 45-64 years"
Soc2<-EF_Delta_Soc_b7*(sd4c)
UB_Soc<-Soc2 + EF_Delta_Soc_b7_se*qnorm(.975)
LB_Soc<-Soc2 + EF_Delta_Soc_b7_se*qnorm(0.025)
EF_Soc7a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
EF_Soc7a$Group<-"Males 65+ years"
Soc2<-EF_Delta_Soc_b8*(sd4d)
UB_Soc<-Soc2 + EF_Delta_Soc_b8_se*qnorm(.975)
LB_Soc<-Soc2 + EF_Delta_Soc_b8_se*qnorm(0.025)
EF_Soc8a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
EF_Soc8a$Group<-"Females 65+ years"
EF_Soc <- rbind(EF_Soc5a,EF_Soc6a,EF_Soc7a,EF_Soc8a)
ggplot(EF_Soc, aes(x= sd1, y = Soc2, ymin=LB_Soc, ymax=UB_Soc, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('\u2206 Executive Function')+
ggtitle("Association of Social Deprivation score with \u2206 Executive Function
based on age and biological sex")
Baseline Memory Function
Soc1<-Mem_BL_Soc_b5*(sd4a)
UB_Soc<-Soc1 + Mem_BL_Soc_b5_se*qnorm(.975)
LB_Soc<-Soc1 + Mem_BL_Soc_b5_se*qnorm(0.025)
Mem_Soc1a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
Mem_Soc1a$Group<-"Males 45-64 years"
Soc1<-Mem_BL_Soc_b6*(sd4b)
UB_Soc<-Soc1 + Mem_BL_Soc_b6_se*qnorm(.975)
LB_Soc<-Soc1 + Mem_BL_Soc_b6_se*qnorm(0.025)
Mem_Soc2a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
Mem_Soc2a$Group<-"Females 45-64 years"
Soc1<-Mem_BL_Soc_b7*(sd4c)
UB_Soc<-Soc1 + Mem_BL_Soc_b7_se*qnorm(.975)
LB_Soc<-Soc1 + Mem_BL_Soc_b7_se*qnorm(0.025)
Mem_Soc3a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
Mem_Soc3a$Group<-"Males 65+ years"
Soc1<-Mem_BL_Soc_b8*(sd4d)
UB_Soc<-Soc1 + Mem_BL_Soc_b8_se*qnorm(.975)
LB_Soc<-Soc1 + Mem_BL_Soc_b8_se*qnorm(0.025)
Mem_Soc4a<-data.frame(Soc1,UB_Soc,LB_Soc,sd1)
Mem_Soc4a$Group<-"Females 65+ years"
Mem_Soc <- rbind(Mem_Soc1a,Mem_Soc2a,Mem_Soc3a,Mem_Soc4a)
ggplot(Mem_Soc, aes(x= sd1, y = Soc1, ymin=LB_Soc, ymax=UB_Soc, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('Baseline Memory')+
ggtitle("Association of Social Deprivation score with Baseline Memory
based on age and biological sex")
Delta Memory Function
Soc2<-Mem_Delta_Soc_b5*(sd4a)
UB_Soc<-Soc2 + Mem_Delta_Soc_b5_se*qnorm(.975)
LB_Soc<-Soc2 + Mem_Delta_Soc_b5_se*qnorm(0.025)
Mem_Soc5a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
Mem_Soc5a$Group<-"Males 45-64 years"
Soc2<-Mem_Delta_Soc_b6*(sd4b)
UB_Soc<-Soc2 + Mem_Delta_Soc_b6_se*qnorm(.975)
LB_Soc<-Soc2 + Mem_Delta_Soc_b6_se*qnorm(0.025)
Mem_Soc6a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
Mem_Soc6a$Group<-"Females 45-64 years"
Soc2<-Mem_Delta_Soc_b7*(sd4c)
UB_Soc<-Soc2 + Mem_Delta_Soc_b7_se*qnorm(.975)
LB_Soc<-Soc2 + Mem_Delta_Soc_b7_se*qnorm(0.025)
Mem_Soc7a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
Mem_Soc7a$Group<-"Males 65+ years"
Soc2<-Mem_Delta_Soc_b8*(sd4d)
UB_Soc<-Soc2 + Mem_Delta_Soc_b8_se*qnorm(.975)
LB_Soc<-Soc2 + Mem_Delta_Soc_b8_se*qnorm(0.025)
Mem_Soc8a<-data.frame(Soc2,UB_Soc,LB_Soc,sd1)
Mem_Soc8a$Group<-"Females 65+ years"
Mem_Soc <- rbind(Mem_Soc5a,Mem_Soc6a,Mem_Soc7a,Mem_Soc8a)
ggplot(Mem_Soc, aes(x= sd1, y = Soc2, ymin=LB_Soc, ymax=UB_Soc, group=Group, colour=Group)) +
geom_line()+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('\u2206 Memory')+
ggtitle("Association of Social Deprivation Score with \u2206 Memory
based on age and biological sex")
8) Simple Slopes Graphs - PASE Score as the Moderator
Simple slopes graphs are presented for significant interaction
effects wherein PASE score is treated as the moderator. Briefly, each
interaction graph details changes in the association between Material or
Social Deprivation with cognitive function as a function of standardized
PASE score for each age and sex group.
8.1) Males 45-64 years
Moderating effect of baseline social deprivation on the association
between physical activity and baseline executive function.
se1b<-sqrt(EF_BL_Soc_var1 + 2*(sd4a)*EF_BL_SocINT_cov1 + (sd4a^2)*EF_BL_SocINT_var1)
b1b<-EF_BL_PA_b1+EF_BL_SocINT_b1*(sd4a)
UB1b<-b1b + se1b*qnorm(.975)
LB1b<-b1b + se1b*qnorm(0.025)
EF_BL1b<-data.frame(b1b,sd1,UB1b,LB1b)
ggplot(EF_BL1b)+
geom_ribbon(aes(ymin=LB1b, ymax=UB1b, x=sd1), alpha=.7)+
geom_line(aes(y=b1b, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed')+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('Simple Slope for Association of Physical Activity
with Baseline Executive Function')+
ggtitle("Physical Activity Predicting
Executive Function as a Function of
Social Deprivation (Males 45-64)")
Moderating effect of baseline social deprivation on the association
between physical activity and changes in executive function from
baseline to follow-up 1.
se1d<-sqrt(EF_Delta_Soc_var1 + 2*(sd4a)*EF_Delta_SocINT_cov1 + (sd4a^2)*EF_Delta_SocINT_var1)
b1d<-EF_Delta_PA_b1+EF_Delta_SocINT_b1*(sd4a)
UB1d<-b1d + se1d*qnorm(.975)
LB1d<-b1d + se1d*qnorm(0.025)
EF_Delta1b<-data.frame(b1d,sd1,UB1d,LB1d)
ggplot(EF_Delta1b)+
geom_ribbon(aes(ymin=LB1d, ymax=UB1d, x=sd1), alpha=.7)+
geom_line(aes(y=b1d, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed')+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('Simple Slope for Association of Physical Activity
with Changes in Executive Function')+
ggtitle("Physical Activity Predicting Changes in
Executive Function as a Function of
Social Deprivation Scores (Males 45-64)")
8.2) Males 65+ years
Moderating effect of baseline social deprivation on the association
between physical activity and baseline executive function.
se4b<-sqrt(EF_BL_Soc_var4 + 2*(sd4c)*EF_BL_SocINT_cov4 + (sd4c^2)*EF_BL_SocINT_var4)
b4b<-EF_BL_PA_b4+EF_BL_SocINT_b4*(sd4c)
UB4b<-b4b + se4b*qnorm(.975)
LB4b<-b4b + se4b*qnorm(0.025)
EF_BL4b<-data.frame(b4b,sd1,UB4b,LB4b)
ggplot(EF_BL4b)+
geom_ribbon(aes(ymin=LB4b, ymax=UB4b, x=sd1), alpha=.7)+
geom_line(aes(y=b4b, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed')+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Social Deprivation Scores')+
ylab('Simple Slope for Association of Physical Activity
with Baseline Executive Function')+
ggtitle("Physical Activity Predicting
Executive Function as a Function of
Social Deprivation Scores (Males 65+)")
8.3) Females 45-64 years
Moderating effect of baseline material deprivation on the association
between PASE score and changes in memory from baseline to follow-up
1.
se3g<-sqrt(Mem_Delta_Mat_var3 + 2*(sd3b)*Mem_Delta_MatINT_cov3 + (sd3b^2)*Mem_Delta_MatINT_var3)
b3g<-Mem_Delta_PA_b3+Mem_Delta_MatINT_b3*(sd3b)
UB3g<-b3g + se3g*qnorm(.975)
LB3g<-b3g + se3g*qnorm(0.025)
Mem_Delta3a<-data.frame(b3g,sd1,UB3g,LB3g)
ggplot(Mem_Delta3a)+
geom_ribbon(aes(ymin=LB3g, ymax=UB3g, x=sd1), alpha=.7)+
geom_line(aes(y=b3g, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed') +
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Material Deprivation Scores')+
ylab('Simple Slope for Association of Physical Activity
with Changes in Memory')+
ggtitle("Physical Activity Predicting Changes in
Memory as a Function of Material Deprivation Scores (Females 45-64)")
8.4) Females 65+ years
No significant moderating effects of physical activity on the
associations of social or material deprivation with cognitive
function
9) Simple Slopes Graphs - Material/Social Deprivation as the
Moderator
Simple slopes graphs are presented for significant interaction
effects wherein Material/Social Deprivation is treated as the moderator.
Briefly, each interaction graph details changes in the association
between physical activity (PASE Score) with cognitive function as a
function of standardized Material or Social Deprivation score for each
age and sex group.
9.1) Males 45-64 years
Moderating effect of baseline PASE score on the association between
social deprivation and baseline executive function.
se1b<-sqrt(EF_BL_PA_var1 + 2*(sd2a)*EF_BL_SocINT_cov1 + (sd2a^2)*EF_BL_SocINT_var1)
b1b<-EF_BL_Soc_b1+EF_BL_SocINT_b1*(sd2a)
UB1b<-b1b + se1b*qnorm(.975)
LB1b<-b1b + se1b*qnorm(0.025)
EF_BL1b<-data.frame(b1b,sd1,UB1b,LB1b)
ggplot(EF_BL1b)+
geom_ribbon(aes(ymin=LB1b, ymax=UB1b, x=sd1), alpha=.7)+
geom_line(aes(y=b1b, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed')+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized PASE Scores')+
ylab('Simple Slope for Association of Social Deprivation
with Baseline Executive Function')+
ggtitle("Social Deprivation Predicting
Executive Function as a Function of
PASE score (Males 45-64)")
Moderating effect of baseline PASE score on the association between
social deprivation and changes in executive function from baseline to
follow-up 1.
se1d<-sqrt(EF_Delta_Soc_var1 + 2*(sd2a)*EF_Delta_SocINT_cov1 + (sd2a^2)*EF_Delta_SocINT_var1)
b1d<-EF_Delta_Soc_b1+EF_Delta_SocINT_b1*(sd2a)
UB1d<-b1d + se1d*qnorm(.975)
LB1d<-b1d + se1d*qnorm(0.025)
EF_Delta1b<-data.frame(b1d,sd1,UB1d,LB1d)
ggplot(EF_Delta1b)+
geom_ribbon(aes(ymin=LB1d, ymax=UB1d, x=sd1), alpha=.7)+
geom_line(aes(y=b1d, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed')+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized PASE Scores')+
ylab('Simple Slope for Association of Social Deprivation
with Changes in Executive Function')+
ggtitle("Social Deprivation Predicting Changes in
Executive Function as a Function of
PASE Scores (Males 45-64)")
9.2) Males 65+ years
Moderating effect of baseline PASE score on the association between
social deprivation and baseline executive function.
se4b<-sqrt(EF_BL_Soc_var4 + 2*(sd2c)*EF_BL_SocINT_cov4 + (sd2c^2)*EF_BL_SocINT_var4)
b4b<-EF_BL_Soc_b4+EF_BL_SocINT_b4*(sd2c)
UB4b<-b4b + se4b*qnorm(.975)
LB4b<-b4b + se4b*qnorm(0.025)
EF_BL4b<-data.frame(b4b,sd1,UB4b,LB4b)
ggplot(EF_BL4b)+
geom_ribbon(aes(ymin=LB4b, ymax=UB4b, x=sd1), alpha=.7)+
geom_line(aes(y=b4b, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed')+
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized PASE Scores')+
ylab('Simple Slope for Association of Social Deprivation
with Baseline Executive Function')+
ggtitle("Social Deprivation Predicting
Executive Function as a Function of
PASE Scores (Males 65+)")
9.3) Females 45-64 years
Moderating effect of PASE score on the association between material
deprivation and changes in memory from baseline to follow-up 1.
se3g<-sqrt(Mem_Delta_Mat_var3 + 2*(sd2b)*Mem_Delta_MatINT_cov3 + (sd2b^2)*Mem_Delta_MatINT_var3)
b3g<-Mem_Delta_Mat_b3+Mem_Delta_MatINT_b3*(sd2b)
UB3g<-b3g + se3g*qnorm(.975)
LB3g<-b3g + se3g*qnorm(0.025)
Mem_Delta3a<-data.frame(b3g,sd1,UB3g,LB3g)
ggplot(Mem_Delta3a)+
geom_ribbon(aes(ymin=LB3g, ymax=UB3g, x=sd1), alpha=.7)+
geom_line(aes(y=b3g, x=sd1))+
geom_hline(aes(yintercept=0), lty='dashed') +
theme_bw() +
theme(panel.border = element_blank(), panel.grid.major = element_blank(),
panel.grid.minor = element_blank(), axis.line = element_line(colour = "black")) +
xlab('Standardized Material Deprivation Scores')+
ylab('Simple Slope for Association of Physical Activity
with Changes in Memory')+
ggtitle("Physical Activity Predicting Changes in
Memory as a Function of Material Deprivation Scores (Females 45-64)")
7.3) Social Deprivation
Baseline Executive Function
Delta Executive Function
Baseline Memory Function
Delta Memory Function